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TEACHER X LLMs

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RAPPER ✕ LLM

GRAMMY® Award-winning artist Lupe Fiasco helps build AI tools for writers, rappers, and wordsmiths.

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STUDENTS ✕ SIGN LANGUAGE RECOGNITION

Students from the Georgia Institute of Technology and the National Technical Institute for the Deaf at Rochester Institute of Technology experiment with AI to make learning sign language easier.

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Write with AI in Google Docs (Workspace Labs)

google creative writing ai

On Google Docs, you can use the “Help me write” prompt to suggest text using artificial intelligence. You can use the prompt to:

  • Write new text. For example, you can ask Google Docs to draft a letter or a social media caption.
  • Rewrite existing text. For example, you can rephrase text, or you can make it more formal, more concise, or more detailed.

This feature is currently available on desktop.

Use AI to write something new

  • On your computer, open a document on Google Docs .
  • In the document, click where you want to write.
  • “Write a poem about the life of a 6 year old boy”
  • “How-to guide for operating a lawn mower”
  • “Thank you letter after an interview"
  • Click Create .

google creative writing ai

  • Edit your prompt: At the top of the pop-up window, click the prompt. Edit your prompt and click Update .
  • Tone: Select Forma l or Casual
  • Summarize: Gives the key points of the text
  • Bulletize: Formats the text into a bulleted list
  • Elaborate: Adds details to build upon the text
  • Shorten: Makes the text more concise
  • Important : After creating a new version, you can’t go back to the previous version.
  • When you’re finished, click Insert.

Use AI to rewrite existing text

  • Select the text you want to rewrite.
  • Rephrase: Rewords the text
  • Custom: You can also write your own prompt to refine the text.
  • Continue refining the suggested text: Click Refine and repeat step 4.

and then

  • Important: After creating a new version, you can’t go back to the previous generated version.
  • Click Replace to accept the new text.
  • Click Insert to add the new text under the existing text.

Close

Give feedback on generated text

Gemini for Google Workspace is constantly learning and may not be able to support your request.

If you get a suggestion that’s inaccurate or that you feel is unsafe, you can let us know by submitting feedback. Your feedback can help improve AI-assisted Workspace features and broader Google efforts in AI. 

  • Optional: To review data that will be attached with your feedback, at the bottom, select What data will be attached?  If you don’t want to include the data with your feedback, uncheck Attach collected data to your feedback to help us improve the product experience .
  • Select Next .
  • Review additional context that you can share with your feedback. If you don’t want to include the additional context with your feedback, uncheck Additional context (content referenced to create outputs) .
  • Select Submit.

To report a legal issue, create a request .

Turn off the “Help me write” prompt

To turn off any of the features on Google Workspace Labs, you must exit Workspace Labs. If you exit, you will permanently lose access to all Workspace Labs features , and you won’t be able to rejoin Workspace Labs. Learn more about how to exit Workspace Labs .

Learn about Workspace Labs feature suggestions

  • Workspace Labs feature suggestions don’t represent Google’s views, and should not be attributed to Google.
  • Don’t rely on Workspace Labs features as medical, legal, financial or other professional advice.
  • Workspace Labs features may suggest inaccurate or inappropriate information. Your feedback makes Workspace Labs more helpful and safe.
  • Don’t include personal, confidential, or sensitive information in your prompts.
  • Google uses Workspace Labs data and metrics to provide, improve, and develop products, services, and machine learning technologies across Google.
  • Your Workspace Labs Data may also be read, rated, annotated, and reviewed by human reviewers. Importantly, where Google uses Google-selected input (as described in the Privacy Notice) to generate output, Google will aggregate and/or pseudonymize that content and resulting output before it is viewed by human reviewers, unless it is specifically provided as part of your feedback to Google.

You can review the Google Workspace Labs Privacy Notice and Terms for Personal Accounts .

How Workspace Labs data in Google Docs is collected

When you use the “Help me write (Labs)” prompt in Google Docs, Google uses and stores the following data:

  • Prompts you enter or select
  • Text you select to rewrite
  • Generated text
  • Document content that is referenced to generate text
  • Your feedback on generated text

Related resources

  • Get started with Google Workspace Labs
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  • Artificial Intelligence

Google’s new prototype AI tool does the writing for you

Wordcraft is a ‘magic text editor’ meant to inspire writers when crafting new stories, but it’s not likely to replace your favorite authors anytime soon.

By Victoria Song , a senior reporter focusing on wearables, health tech, and more with 11 years of experience. Before coming to The Verge, she worked for Gizmodo and PC Magazine.

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Douglas Eck standing in front of a presentation screen demonstrating Wordcraft

Remember that time Google showed off its artificial intelligence prowess by demoing conversations with Pluto and a paper airplane ? That was powered by LaMDA , one of Google’s latest-generation conversational AI models. Now, Google’s using LaMDA to build Wordcraft, a prototype writing tool that can help creative writers craft new stories.

AI-powered writing tools aren’t new. Chances are you’ve heard of Grammarly or copywriting tools like Jasper . What makes Wordcraft a bit different is that it’s framed as a means to help create fictional work. Google describes it as a sort of “text editor with purpose” built into a web-based word processor. Users can prompt Wordcraft to rewrite phrases or direct it to make a sentence funnier. It can also describe objects if asked or generate prompts. In a nutshell, it’s sort of like wrapping an editor and writing partner into a single AI tool.

To test Wordcraft, Google created a workshop with 13 professional writers to see how well the prototype worked. While the writers seemed to appreciate Wordcraft as a way to spark new ideas, they unanimously agreed the tool wasn’t going to replace authors anytime soon. For starters, the tool wasn’t great at sticking to a narrative style and produced average or cliched writing. It also stuck to tried-and-true tropes while also steering clear of “mean” characters.

“One clear finding was that using LaMDA to write full stories is a dead end. It’s a much more effective tool when it’s used to add spice,” Douglas Eck, senior research director at Google Research, said at the AI@ event.

  • The Great Fiction of AI

Obviously, any prototype has kinks to work out. It’s also hard to fully grasp what using an AI-powered creative writing tool is like. So I was curious to see a demo of it firsthand at Google’s AI@ event.

I started by giving Wordcraft the prompt “penguins swimming.” It then generated a few different story ideas, and because I love baby animals, I went with a mother penguin sitting on her eggs. From there, I could tell Wordcraft to either continue the story, add another prompt, or talk to a chatbot for more ideas. I opted to highlight the “eggs” and have Wordcraft offer more description.

The results were all sorts of surreal — one described the eggs as having a leathery texture, but I went with the option where they were the size of grapefruits and covered in downy feathers. (Never mind the fact that eggs covered in feathers aren’t really a thing.) I won’t go into every prompt I tried out, but I did at one point have Wordcraft shorten a lengthy continuation into a single sentence, as well as had the chatbot generate some conflict (hence, the seal eating mama penguin’s babies).

Picture of a Wordcraft-generated story about baby penguins.

As you can see from the final product, the writing is fairly basic. There are also a lot of things that contradict — the baby eggs are eaten, but then a baby is floating in the ocean and rescued? Despite the fact that they never actually hatched? Sure! Another quirk was I had to manually copy and paste whatever the chatbot suggested into the main window. Every other prompt can just be clicked and automatically added.

Ultimately, it’s as Eck said. After the demo, I couldn’t really picture writing a full story this way, but it was a neat way to generate ideas. The final product wouldn’t ever work on its own — I’d be too embarrassed to even put it on AO3 as a March of the Penguins fanfic. But I could take the overall idea — a mama penguin fighting off a seal to save her eggs — and rewrite the text into a more enjoyable, less robotic story.

Wordcraft is clearly still in the experimental stage. That said, the prototype was fun to use, even if I was mostly trying to see how absurd I could get with a single prompt. If you’re curious, you can check out nine stories that came out of the Wordcraft Writers’ Workshop here . They’re pretty wild.

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A new era for AI and Google Workspace

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Johanna Voolich Wright

Vice President, Product, Google Workspace

Try Google Workspace at No Cost

Get a business email, all the storage you need, video conferencing, and more.

For nearly 25 years, Google has built helpful products that people use every day — from Search and Maps, to Gmail and Docs in Google Workspace. AI has been transformational in building products that have earned a valued place in people’s lives. Across our productivity suite, advances in AI are already helping 3 billion users save more time with Smart Compose and Smart Reply , generate summaries for Docs, look more professional in meetings, and stay safe against malware and phishing attacks .

We’re now making it possible for Workspace users to harness the power of generative AI to create, connect, and collaborate like never before. To start, we’re introducing a first set of AI-powered writing features in Docs and Gmail to trusted testers.

As the world’s most popular and secure cloud-native communication and collaboration suite, getting this right — and at scale — is something we take very seriously. We know from our deep experience in AI and productivity that building features with AI requires great care, thoughtful experimentation, and many iterations driven by user feedback. We do all this while building safeguards against abuse, protecting the privacy of user data, and respecting customer controls for data governance.

Making Workspace even more helpful

Workspace's mission is to meaningfully connect people so they can create, build and grow together — and advances in generative AI are allowing us to deliver on this mission in new ways. Today, we’re sharing our broader vision for how Workspace is evolving to incorporate AI as a collaborative partner that is always there to help you achieve your goals, across Gmail, Docs, Slides, Sheets, Meet, and Chat.

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As we embark on this next journey, we will be bringing these new generative-AI experiences to trusted testers on a rolling basis throughout the year, before making them available publicly. 

With these features, you’ll be able to:

  • draft, reply, summarize, and prioritize your Gmail
  • brainstorm, proofread, write, and rewrite in Docs
  • bring your creative vision to life with auto-generated images, audio, and video in Slides
  • go from raw data to insights and analysis via auto completion, formula generation, and contextual categorization in Sheets
  • generate new backgrounds and capture notes in Meet
  • enable workflows for getting things done in Chat

Here’s a look at the first set of AI-powered features, which make writing even easier.

Starting with Docs and Gmail

Blank pages can stump the best of us. That’s why we’re embedding generative AI in Docs and Gmail to help people get started writing . Whether you’re a busy HR professional who needs to create customized job descriptions, or a parent drafting the invitation for your child’s pirate-themed birthday party, Workspace saves you the time and effort of writing that first version. Simply type a topic you’d like to write about, and a draft will instantly be generated for you. With your collaborative AI partner you can continue to refine and edit, getting more suggestions as needed. 

Finding the right tone and style can also be tricky at times. Perhaps you’re applying for a new job, or writing to a new supplier in a more traditional industry, and you need to adopt a more formal tone in your email. Or you’ve jotted down a few bullets on your phone from a recent meeting and want to transform them into a more polished summary to share with your team. For these common scenarios and many more, we’re adding new generative AI capabilities to help you rewrite . And if you’re in the mood to let AI try out a new playful voice altogether, you’ll be able to hit the “I’m feeling lucky” option in Gmail.

Keeping users in control

As we’ve experimented with generative AI ourselves, one thing is clear: AI is no replacement for the ingenuity, creativity, and smarts of real people. Sometimes the AI gets things wrong, sometimes it delights you with something offbeat, and oftentimes it requires guidance. With all this in mind, we’re designing our products in accordance with Google’s AI Principles that keep the user in control, letting AI make suggestions that you’re able to accept, edit, and change. We’ll also deliver the corresponding administrative controls so that IT is able to set the right policies for their organization. 

The best is yet to come

AI-based capabilities get better with human feedback. We’ll launch these new experiences this month via our trusted tester program, starting with English in the United States. From there, we’ll iterate and refine the experiences before making them available more broadly to consumers, small businesses, enterprises, and educational institutions in more countries and languages. When it comes to delivering the full potential of generative AI across Workspace, we’re just getting started. In the same way that we revolutionized real-time collaboration with co-authoring in Docs 17 years ago, we’re excited to transform creation and collaboration all over again in Workspace. 

If your organization is not yet on Workspace, we invite you to get started today at no cost and join us in this new era of AI.

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Paresh Dave

We Put Google’s New AI Writing Assistant to the Test

Digitally generated image of a typewriter with a single chatbot button instead of traditional keys

When I asked Google’s AI writing aid to draft a happy birthday email to a friend, it left my brain in the dust. I had taken about 90 seconds to craft a decent 81-word greeting. But the search giant’s text-generation feature knocked out a flawless 87 words in a third of the time.

That’s exactly what Google wants to see. The Help Me Write feature that launched in March and was rolled out more broadly at the  company’s annual conference last week is a radical step beyond the Smart Reply and Smart Compose tools that Gmail has offered for years to generate short phrases. With the new feature, you type a brief description of the email you want to send—“Wish happy birthday to a friend I made last year in San Francisco.” Then you click a button labeled Create, and a full draft appears. Each one bears a disclaimer: “This is a creative writing aid, and is not intended to be factual.”

Screenshot of Google Duet response to prompt write a note to a vet asking for a note allowing grooming des...

Help Me Write is the first of a slew of generative AI features  Google has planned for its productivity suite, under the umbrella branding of Duet AI for Workspace. I spent a few days testing it in Gmail and Google Docs to speed up wedding planning and uncover its boundaries.

Though it can rapidly unspool drafts of polite emails to businesses or fluent essays on mundane topics, what I gained in time I sometimes lost through new headaches. Duet’s writing often came across as stiff, it sometimes snuck in gender stereotypes and inaccurate information, and it wouldn’t expound on subjects I needed it to—like drinking games. “We’re still learning, and can’t help with that. Try another request,” the tool too often responded to me.

Frustrations aside, the system will undoubtedly be widely adopted among the 2 billion people using Gmail and the 3 billion using Google productivity software such as Docs. Existing AI offerings Smart Reply and Smart Compose drew 180 billion uses last year, Google CEO Sundar Pichai said last week.

Help Me Write loads via a pencil-and-star button located along the bottom of the Compose window in Gmail or on the left margin of a  Google Docs page , and it provides the sort of responses that have become synonymous with  OpenAI’s ChatGPT . Microsoft is testing a version of that technology in services including Word and Outlook with some business customers. But Google’s Duet technology is the first comparable AI writing aid offered to consumers and built into widely used services.

Hundreds of thousands of English-speaking users in the US and other countries who have signed up for  Google’s Workspace Labs have access. They’ve been testing it for job applications, client letters, and lesson plans, says Kristina Behr, the Google vice president of product overseeing collaboration services and generative AI integrations. My “You’re in!” email arrived days after signing up. The AI writing companion is free and has no usage limits, but Google hasn’t determined whether that will be true forever, she says.

My experience with Duet began with it asking me to agree to  terms of service . I was to understand that prompts and responses would not be tied to my Google account, but they could be reviewed by humans, so I should watch what I type. I still used it for personal tasks, including helping with emails and speaking scripts for my upcoming wedding, offering up my data in the spirit of informing WIRED readers.

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One of the first things I noticed is that Duet’s behavior can be inconsistent across Google services. I wanted to finish up a script for friends who will emcee a pre-wedding party filled with competitions, speeches, and musical performances. But the version of Duet in Google Docs wouldn't help me write a description of the well-known drinking game Flip Cup. Nor would it explain Beer Pong. The Duet over in Gmail correctly described both games. 

Screenshot of Google Duet unable to answer prompt describe flip cup

Behr says that happened because Gmail’s version of the feature is tuned to be less formal than the one in Google Docs, which is more likely to be used in workplaces or schools. The two products have separate teams testing and setting Duet’s boundaries.

Now that I was in Gmail, I sought help writing emails to guests who were scheduled to participate in the wedding welcome event. Duet suggested some points I might not have thought to include: “We want you to feel free to be as creative as you want with your roast.” But the overall output resembled something sent by corporate HR and legal departments.

The AI-made messages were devoid of my hallmark sentences lacking a verb or starting with “Just,” and they included nary a single emoji 😡. The text generator showed little appreciation for how I or anyone else communicates informally. My partner shrieked in horror when she saw I had sent one of Duet’s drafts to two friends, with only light edits, to see their response. (So far, neither has replied.)

Behr says I could have asked for a loose and informal tone in my prompt to the AI writer. Google is trying to figure out how to educate users on tricks like that. “We're effectively building with our customers” in real time, she says. 

Pichai’s demonstration at Google’s  I/O conference last week featured the writing of a formal refund request to an airline, and I found Duet in Gmail a skilled grumbler. Complaint to consumer protection regulators about event ticketing technology? No problem. Complaint to a shoe maker for soles wearing out too fast? On point. Note to a veterinarian asking for a doggy doctor’s note? Got it. Google has built a formidable complaint machine—an aspect of Duet that will probably spur companies to use generative AI to defend themselves.

For consumers, improvements are already in the works. By the end of this month, Gmail’s text generator will draw on information from past emails in the same thread. The I/O demo showed that a user planning a potluck could generate an email that referenced a planning document shared earlier in the thread. My complaints about shoes or tickets would become more persuasive if the system pulled transaction dates, model numbers, and other info from my inbox.

The same button used to summon Help Me Write loads toggles to lengthen, shorten, or formalize either AI-crafted text or your own compositions. Those all work surprisingly well. In Docs, users can even enter their own editing filter, like “Sound more confident!” Gmail has an “I’m feeling lucky” option, which applies a surprise goofy filter to text, like turning it  piratical by switching “hello” for “ahoy” and “your” into “yer.” Another time it turned “car” into “flying car.”

Back over in Docs, my frustrations with Duet grew. It refused to generate wedding vows ( a use ChatGPT will serve ) or a “wedding reception speech with wife.” But dropping “with wife” and trying related prompts showed it could generate speeches from the point of view of a groom’s best man. The notion of a newly wedded couple speaking together was seemingly too alien for the technology.

Duet could be more useful if it could ask for additional guidance before a draft is generated, like asking a user to specify the perspective for the text. Behr says Google is considering “multi-turn experiences,” similar to ChatGPT, where a user can engage the text generator in a dialog to perfect the output.

Help Me Write,  like other text generators , can make slip-ups around gender. In Docs, it wrote a nice online review of a wedding officiant—but assumed the officiant was a “he.” Asked to compose letters to my future son and then daughter, it signed them as being written by “Dad” and “Father,” though the system does not know my gender, according to Behr. In 2018, I reported that the  Smart Compose feature, which uses machine learning to help you finish sentences in Gmail,  would not suggest pronouns because the company feared user backlash for getting them wrong. Duet lacks those precautions. Behr says that while Google’s commitment to inclusive language remains, guardrails for newer AI models require different engineering that is a work in progress.

Duet’s struggles with gender didn’t stop with botched pronouns. I asked the system to suggest gift ideas for a young boy and then a young girl. While the lists of ideas overlapped, exclusive to the boy’s side was “a remote control car or plane” and other items leaning science and tech, and only the girl’s list mentioned “a dollhouse or playset” and “jewelry.” The Help Me Write box flashes prompt ideas while waiting for users to type, and a similar experiment using even one of its suggestions (“poem about a six-year-old boy”) perpetuated gender conventions.

Stereotypes also popped up when I tried asking for movies to watch with “a gay friend” or just “a friend.” In response to the first prompt, Duet in Docs listed three movies featuring gay romances, but for the second it made only generic suggestions, like something “you both love.”

Other times, Google’s AI helper handled pronouns deftly. Asked to write a greeting card for a new baby on the way, it said “they will be a beautiful, happy, and healthy baby” without using any gendered language. But my tests suggest that people who prefer inclusive language or want to avoid stereotypes will need to be careful.

Duet sometimes avoids tricky subjects. It wouldn’t help write a  Nigerian prince scam email , an evil plan to take over the world using AI, a speech about conservative commentator  Tucker Carlson , or most anything mentioning terrorism or guns. (Water and Nerf guns were an exception.)

The Duet features also refused some prompts referring to demographic characteristics, with much inconsistency. Google’s AI writer was happy to give housewarming gift ideas for an Indian family (Indian thalis, basket of Indian snacks, Indian art) but not a Black family. It answered a request for jobs that Sikh people are good at (entrepreneurs, doctors) but not the same query for Jewish people. A five-paragraph essay on British literature? Yes. An essay on the British role in the Atlantic slave trade? Nope.

When a Duet feature refuses to generate text, it is impossible to tell whether the cause is a bug, a poor prompt, or a content concern, because in Google’s  speedy rollout , the company hasn’t gotten around to fine-tuning error notices, Behr acknowledges.

Screenshot of Google Duet response to a prompt reading use 70 of samosas before ceremony 30 at cocktail hour

As human writers know, getting words on the page is one challenge, but getting the facts correct is another. Duet in Docs rightly described the term “welfare queen” as pejorative and wrote a sharp memo on options to mitigate labor costs at any company.

But its work began to look sloppy on more specific requests. Asked to write a memo on consumer preferences in Paraguay compared to Uruguay, the system incorrectly described Paraguay as less populous. It hallucinated, or made up, the meaning behind  a song from a 1960s Hindi film being performed at my pre-wedding welcome event.

Most ironically, when prompted about the benefits of Duet AI, the system described Duet AI as a startup founded by two former Google employees to develop AI for the music industry with over $10 million in funding from investors such as Andreessen Horowitz and Y Combinator. It appears no such company exists. Google encourages users to report inaccuracies through a thumbs-down button below AI-generated responses.

Behr says Google screens topics, keywords, and other content cues to avoid responses that are offensive or unfairly affect people, especially based on their demographics or political or religious beliefs. She acknowledged that the system makes mistakes, but she said feedback from public testing is vital to counter the tendency of AI systems to reflect biases seen in their training data or pass off made-up information. “AI is going to be a forever project,” she says.

Still, Behr says early users, like employees at Instacart and Victoria’s Secret’s Adore Me underwear brand, have been positive about the technology. Instacart spokesperson Lauren Svensson says—in a manually written email—that the company is excited about testing Google’s AI features but not ready to share any insights.

My tests left me worrying that AI writing aids could extinguish originality, to the detriment of humans on the receiving end of AI-crafted text. I envision readers glazing over at stale emails and documents as they might if forced to read Google’s nearly 6,000-word privacy policy. It’s unclear how much individual personality Google’s tools can absorb and whether they will come to assist us or replace us.

Behr says that in Google’s internal testing, emails from colleagues have not become “vanilla” or “generic” so far. The tools have boosted human ingenuity and creativity, not suppressed them, she says. Behr too would love an AI model that imitates her style, but she says “those are the types of things that we're still evaluating.”

Despite their disappointments and limitations, the Duet features in Docs and Gmail seem likely to lure back some users who began to rely on ChatGPT or rival AI writing software. Google is going further than most other options can match, and  what we are seeing today is only a preview of what’s to come. When—or if—Duet matures from promising drafter to unbiased and expert document finisher, usage of it will become unstoppable. Until then, when it comes to writing those heartfelt vows and speeches, that’s a blank screen left entirely to me.

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What is textfx ai tools, textfx ai tools can be helpful for any creative writer.

If you're a creative writer, you've had writer's block more times than you care to admit. The TextFX Project is an artificial intelligence (AI) tool created by musician and producer Lupe Fiasco and Google Lab Sessions. It's a suite of writing tools made for rappers, writers, and wordsmiths. If you're ready to give writer's block a vacation, open a new browser window on your favorite Chromebook , PC, or mobile device and check it out.

What's the tech behind TextFX?

The TextFX Project is powered by Google's large language model, PaLM 2 (Pathways Language Model 2). Google put a lot of effort into scaling up large language models and has been a leader in that area since the early days of AI language models. Operating massive datasets and using advanced neural networks developed by Google Research have given Google an edge.

PaLM 2 can handle multiple language tasks simultaneously. This multitasking ability is part of what Google calls "pathways," a strategic approach to handling complex, large-scale AI model training. It uses a modular approach, where different components of the process can be specialized but still interact effectively with each other.

Top 8 best AI note-taking tools

Textfx has ten ai tools.

All the TextFX tools are offered for free on its website . When you visit the site, you're greeted with a split screen with its logo and a scrolling list of the tools. With names like Fuse, Unexpect, and Unfold , it can be confusing. The interesting thing about TextFX is that many of the tools are based on the techniques Lupe Fiasco developed in his approach to working with words creatively.

Lupo describes his approach as "word explosions." Taking a word and exploding the possibilities inherent in that word. One of the tools is Explode , which takes a single word and breaks it into similar-sounding phrases. You can peek under the hood by looking for the info icon under the tool names. Explode shows examples like taking the word "stabilize" and breaking it into "stable eyes."

What TextFX tools are available, and what can you use them for?

The rest of the tools take a similar approach to the Explode TextFX tool. You enter a word, thing, concept, topic, or scene, and the possibilities associated with that word unfold.

Some tools do exactly what they are named, and any wordsmith will be familiar with them. The Simile TextFX tool takes a thing or concept and outputs several possible similes. Take the word "waiting," and you get things like, "waiting for the train to arrive was like watching a pot of water boil." The Alliteration and Acronym tools in this AI toolset do the thing they are named for.

While Explode breaks a word into similar-sounding phrases, Chain gives you a series of semantically related items. Take a moment to think about what other words are related to the word "guitarist." A guitarist has an instrument that they play music with, possibly in a band . Maybe that guitarist is on tour on a bus , getting ready to play on stage . You get the idea. It's helpful when you know the subject you're writing about but want detailed ways to describe it or something related to it that you can elaborate on.

Unfold takes a word and pairs it with another word that's commonly found next to it. For example, when you type "guitarist," you get outputs like lead guitarist, rhythm guitarist, guitarist prodigy, and rock guitarist. Like most AI, you can get bad responses from these tools. We don't think "guitarist cat" is that common. But who knows? The internet loves cats.

Creating a detailed scene with TextFX is easy

The Scene tool can be helpful for any writer. A lot of writer's block comes when you can visualize or imagine something that's happening but can't describe it. "Watching a movie" is a simple scene. But what does watching a movie feel like? What sounds are around you? What can you see?

Scene outputs things that are familiar to most people and can viscerally draw you in. The feel of plush seats and sticky floors, the taste of cold soda and candy, the smell of fresh popcorn wafting through the theater, the darkness of the theater, and the sight of the bright lights illuminating the screen.

There's also the Unexpect tool. Enter a scene, and you get an unexpected and imaginative result. Want to make a scene where the character is "eating a doughnut" a little stranger? How about, your character is "eating a doughnut with chopsticks"? Or maybe they get a nasty surprise while "eating a doughnut filled with mashed potatoes"?

Explore topics from different perspectives with TextFX

The last few tools in TextFX help you explore a topic or concept in depth. POV is a tool that takes a topic and creates a list of what someone might think about that topic. If you want to explore "succulents," the output is in the form of "succulents are the..."

If you're familiar with succulents, you'll understand some of the points of view. Succulents are low-maintenance plants that thrive in dry environments, like cacti, jade plants, and dragon trees. TextFX outputs the common thoughts that "succulents are the perfect plants for people who don't know how to take care of plants" and "succulents are the perfect plants for people who don't have a green thumb."

On the other hand, some people may think that "succulents are the perfect plants for people who are too lazy to take care of real plants." Or have the hot take that "succulents are the hipster's pet rock." There aren't any detailed points of view, but it provides additional perspective to what you already think about a topic.

The Fuse tool is a bit more interesting. You can take any two things, and it outputs some commonality or intersection between them. It struggles when the fusion of the two things is a stretch, like succulents and guitarists. One output made a little sense and said, "Both succulents and guitarists can be associated with the idea of patience — succulents with their ability to thrive in harsh conditions, and guitarists with their ability to practice for hours on end to perfect their craft."

With so many AI tools focusing on recreating what artists produce , TextFX takes a refreshingly different approach. Instead of creating art similar to an artist or music similar to a musician, TextFX recreates a creative process.

One of the developers said that they thought this project would output writing similar to Lupe Fiasco's work. However, Lupe said the tools would be more helpful if they helped with his process. Now, we get a chance to create in a way that's similar to how Lupe creates. Let's hope the next generation of AI tools trends in this direction, making the lives of creatives easier so that they have more time to be creative.

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3 compelling use cases for AI, according to creative leads

For years, marketers have been integrating AI-powered products into nearly every aspect of their work , gaining critical insights and driving more conversions with improved campaign optimizations.

More recently, the profusion of news surrounding generative AI has renewed the critical importance of the human in the driver’s seat, especially when it comes to building advertising creative. Commercial creative would not exist without the talent behind it, full stop. And just as marketers have been using AI-powered tools, creatives have been experimenting with AI in everything from ads that talk back to concept decks that sing.

With responsive search ads (RSA) and responsive display ads (RDA), we’ve already seen the ability of AI to optimize thoughtfully crafted assets into the best-performing combinations of creative. We know that AI can scale asset production to serve the most relevant version of an ad across channels via Performance Max , App , and Video action campaigns. Now, to get a pulse on how interdisciplinary creative teams are already exploring AI, we asked agency leads across three regions how they use it. Here’s what they said.

Novel use cases for AI tools

1. interactive ads from voice activation to audiovisual journeys.

During the 2019 holiday season, a team tasked with selling the Google Nest to Australian shoppers had a unique opportunity to let people test the product from the comfort of their own homes.

“We wanted to bring the experience of Nest into the ad itself, so that was the moonshot then — essentially, quite a while back before generative AI was a thing,” said Tingyan Han, senior data strategy director, APAC at EssenceMediacom. “We needed to demonstrate the many ways in which Nest makes moments at home better.”

There were many considerations when working with a speech-to-text API, from the UX to ad inventory and measurement … to testing whether local accents were recognizable.

To do that, the team turned to a speech-to-text API co-authored by Google with the help of the Google Nest and Google Media Lab teams.

“There were many considerations when working with a speech-to-text API, from the UX to ad inventory and measurement, all the way down to testing whether local accents were recognizable,” said Han. The ad would pause within the first few frames to allow the user time to opt in to the experience. When users said, “Hey Google, show me gingerbread house recipes,” it would do as told.

The activation led to an increase in consideration to purchase. Vincent Tay, creative director, APAC at EssenceMediacom, says that’s because the interactivity served to demonstrate the benefits of the product itself.

We must always remember to place the human truth at [our campaign’s] core.

“While the thought of integrating new and shiny technology into every facet of our campaign can be alluring, we must always remember to place the human truth at its core,” said Tay, who partnered with a UX/UR designer alongside Han on the campaign.

More recently, Publicis-owned Leo Burnett Australia used AI to build a talking car ; Leo Burnett Taiwan used another kind of AI to celebrate Lunar New Year with potato chip-inspired fortunes .

“We have been using Google Colab regularly for early prototyping efforts involving up-and-coming AI algorithms,” said Laurent Thevenet, head of creative tech at Publicis covering APAC and MEA. “We are also starting to use Bard , as we like the fact that it is connected to the internet and can retrieve real-time information.”

In addition to sending regular updates on emerging tech to its 4,000 creatives across the region, Publicis is also mentoring talent internally, sending mentees back to their respective agencies and teams with new knowledge.

“Machines need operators and, for the creative industry, it means that creatives will partner with machines, directing them towards the desired output,” said Thevenet. “These creatives have to be hybrid talents able to think critically while having the ability to operate and connect these emerging AI systems with one another.”

2. Envisioning results — and selling that vision to clients

“Imagine a concept store on the moon. What does that look like?”

Ed Yeoman, creative director at London-based branding and design agency Human After All, has observed his team bringing AI into the ideation stage to collaborate on design fiction for this type of “wild-card idea.”

“Some people use it to get verbal prompts around language and messaging, and some people use it to get visual prompts to help them kind of imagine something that doesn’t exist yet,” including events and event spaces, he said.

Google’s announcement of the forthcoming addition of Adobe Firefly to Bard represents a commitment to ethical image generation.

Gabriel Cheung, Global Executive Creative Director, TBWA\Chiat\Day New York, says AI-generated content can also challenge teams to push their thinking. “Because of the way AI works with existing information, we let AI-powered tools quickly generate the ‘first thought’ ideas. Our thinking is that if AI can generate the same idea, then we haven’t done our job well enough to come up with something new,” said Cheung.

Google recently announced a new conversational experience in Google Ads and Search campaigns that can be used to enhance brainstorms, a use case Yeoman’s team found helpful.

“[The prompting] part of the process … puts you in the role of the creative or strategic director,” said Yeoman. “Oftentimes, at that level, you’re helping to frame challenges for people to inspire them to do certain things. It’s the same with AI. You’re hoping to frame this challenge in a way which gives you an optimal output.”

At the heart of our business are the principles of empathy and reason. We try and build those into everything.

Meanwhile, Google’s announcement of the forthcoming addition of Adobe Firefly to Bard represents a commitment to ethical image generation. Firefly is trained on a catalog of hundreds of millions of licensed images in Adobe Stock. As private technology companies develop responsible AI and call for regulation , creative agencies are writing their own ethical guidelines.

“We felt that there was a little bit of a lack of people talking about what it meant for humans,” said Yeoman. “At the heart of our business are the principles of empathy and reason. We try and build those into everything.”

3. Guiding concept iteration, strategy, and production at scale

Every year, global creative agency Jellyfish Group invites its own technologists to a companywide hackathon. The participants invited to this year’s event in Paris received a new kind of challenge: design an AI-powered solution for improving the quality and performance of creative assets. The event brought 120 technologists across data, media, and creative together to address this critical business need.

“The benefit is huge; it elevates everyone’s knowledge and experience, and that carries throughout the rest of the year,” said Sam Yates, chief solutions officer of creative technology at Jellyfish.

AI is not just about ethics; it’s literally a business problem for us. If we’re not using AI the right way, it could lead to bias because of the training samples.

“AI has developed so fast and there’s so much opportunity, but it’s also kind of a wild West scenario,” said Di Wu, VP of data science at Jellyfish Group. “People are just starting to think about regulation and what it means for us to adopt AI. We created a task force around it to basically say, AI is not just about ethics; it’s literally a business problem for us. If we’re not using AI the right way, it could lead to bias because of the training samples used [to train the hypothetical model].” Agencies will soon have access to more tools to create variations on their own work, ensuring ownability.

Working within established partner networks is one way to ensure safety, added Yates. “We don’t want to stifle innovation in any way, but we do have to think about some of the risk mitigations that go with exploring new technologies,” he said. “Working closely with Google, for example, is a great opportunity for us to explore a tech stack in a safe and responsible way.”

Even before the milestones of 2023, Google had partnered with Jellyfish to design a bespoke service powered by Google Cloud Platform’s Vision and Video APIs . “Optics” could decode which elements of an ad performed best according to a brand’s goals and best practices like the YouTube ABCDs . With advances in AI, such methodologies could eventually enable teams to distinguish emotional content across ads, or even the presence of humor, to shed light on which creative choices resonated most with their brands’ audiences.

Once teams have finalized creative assets, they can get the most out of them using smart creative formats like RSAs and RDAs. Tools like Performance Max can help make sure the right ad reaches the right audience at the right time, optimized for their chosen channels and screens. Research shows that advertisers see 2X more conversions , on average, when adding an RDA to an ad group with a static display ad.

From creative testing to storyboarding, AI-powered solutions have a pivotal role to play in the future of creative development. The role itself must be defined by the needs of real creative teams, and some of the most useful applications may be found unexpectedly. Through active exploration and experimentation with AI, we can discover more concrete ways of thinking about the guardrails we want to uphold and the benefits to creative professionals they unlock.

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I prompted AI to summarize Google's 45-page book about how to write the best AI prompts. Here are the key takeaways.

  • Google  handed out free guides on how to write successful AI prompts for Gemini at Google I/O.
  • The booklet covers best practices for Google Workspace and gives examples for various professions.
  • Some tips include drafting 21-word prompts that include persona, task, context, and format.

Insider Today

Google handed out booklets about how to write successful AI prompts at its big summer developer conference, Google I / O .

But you're still in luck even if you weren't one of the developers or press in attendance — Google has a free PDF version available for download on its website.

The guide breaks down how to best write AI prompts for Gemini for the company's Google Workspace apps, which include Gmail, Google Docs, Google Sheets, Google Meet, and Google Slides.

But there are some great takeaways in general for writing AI prompts.

It lists some helpful tips, like how the most successful AI prompts average around 21 words, and users should refrain from making them too long or too short. The guide also went over the four key points to hit in every prompt to receive the most useful responses.

The guide showcases how different roles can use Gemini to improve productivity. For example, an HR manager might use Gemini to create a script for an onboarding presentation, while a sales representative may use it to create an elevator pitch for a client.

Related stories

While the digital version is only 45 pages long, we uploaded the booklet to Google's Gemini to see the biggest takeaways (yes, we prompted AI to summarize a book about AI prompts).

Here's what it said in response.

Gemini for Google Workspace: A Guide for Busy Professionals

This guide is a comprehensive resource for anyone who wants to learn more about using Gemini for Google Workspace to improve their productivity and creativity. It covers a variety of use cases for different roles (Recruiter, HR Manager, Marketing Manager, Project Manager, Sales Manager) and provides specific prompts and examples to help them leverage Gemini's capabilities.

Key Takeaways

  • Gemini for Google Workspace integrates with various Google Workspace apps (Gmail, Docs, Sheets, Slides, Meet) to assist with tasks like writing, organizing, summarizing information, creating visuals, and more.
  • Effective prompts for Gemini should include Persona (who you are), Task (what you want to achieve), Context (background information), and Format (desired output style).
  • Gemini can be used across various departments to improve productivity and streamline workflows.

Additional Tips

  • Level Up Your Prompt Writing: The guide offers additional tips to help you improve your prompt writing skills. These include breaking down complex tasks into smaller prompts, using constraints to generate specific results, and tailoring your prompts to the desired tone and audience.
  • Stay Up-to-Date: The guide recommends checking workspace.google.com and workspace.google.com/blog for the latest information on Gemini for Google Workspace.

Overall, this guide is a valuable resource for anyone who wants to learn more about using Gemini for Google Workspace to enhance their work within the Google ecosystem.

On February 28, Axel Springer, Business Insider's parent company, joined 31 other media groups and filed a $2.3 billion suit against Google in Dutch court, alleging losses suffered due to the company's advertising practices.

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Generative AI for Educators

As a teacher, we know your time is valuable and student needs are broad. With Generative AI for Educators, you’ll learn how to use generative AI tools to help you save time on everyday tasks, personalize instruction, enhance lessons and activities in creative ways, and more.

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  • Built by AI experts at Google in collaboration with MIT RAISE
  • No previous experience necessary

Generative AI for Educators

Flexible AI training designed for teachers

This self-paced course fits into a teacher’s busy schedule with flexibility in mind. It offers hands-on, practical experience for teachers across disciplines.

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Learn more about the course

Developed by AI experts at Google in collaboration with MIT RAISE , this course will help you bring AI into your practice. You’ll also gain a foundational understanding of AI — you'll learn what it is, the opportunities and limitations of this technology, and how to use it responsibly.

You’ll learn how to use generative AI tools to:

  • Save time on everyday tasks like drafting emails and other correspondence
  • Personalize instruction for different learning styles and abilities
  • Enhance lessons and activities in creative ways

More details

Close details, save time and enhance student learning with ai skills.

When you complete the online course, you’ll gain essential AI skills you can apply to your workflow immediately. By using AI as a helpful collaboration tool, you can work smarter, not harder.

Earn a certificate which you can present to your district for professional development (PD) credit, depending on district and state requirements.

Earn a certificate which you can present to your district for professional development (PD) credit, depending on district and state requirements.

Get hands-on experience using generative AI tools and apply your new skills right away.

Get hands-on experience using generative AI tools and apply your new skills right away.

Bring this course to your school or district

If you’re a school or district leader, we’ve designed this course to fit into a teacher’s standard school day. The five modules are each thirty minutes or less, allowing teachers to fit the training into professional development or planning periods.

Nellie Tayloe Sanders, Oklahoma Secretary of Education

Nellie Tayloe Sanders

Oklahoma Secretary of Education

Secretary Sanders

Jose L. Dotres, Superintendent of Schools

Miami-Dade County Public Schools

Michael Matsuda, Superintendent of Schools Anaheim Union High School District

Michael Matsuda, Superintendent of Schools

Anaheim Union High School District

Frequently asked questions

Why enroll in generative ai for educators.

Generative AI for Educators is a two-hour, self-paced course designed to help teachers save time on everyday tasks, personalize instruction to meet student needs, and enhance lessons and activities in creative ways with generative AI tools — no previous experience required. Developed by experts at Google in collaboration with MIT RAISE (Responsible AI for Social Empowerment and Education), this no cost course is built for teachers across disciplines and provides practical, hands-on experience. After completing the course, teachers earn a certificate from the course, which they can present to their district for professional development (PD) credit, depending on district and state requirements.

Who is the Generative AI for Educators course for?

Generative AI for Educators is designed for high school and middle school educators of any subject, with no technical experience required. Any teacher who is interested in using AI to save time and enhance student education could benefit from this course.

How are the skills I learn applicable to my work?

This generative AI course for teachers will provide practical applications that help save time by increasing efficiency, productivity, and creativity. The course includes hands-on experience using generative AI tools to do things like write class correspondence (messages, emails, newsletters), create assessments and provide feedback, differentiate instruction to meet various student needs, and create instructional strategies to make lessons more engaging for students.

What will I get when I finish?

After completing the course, teachers earn a certificate that they can present to their district for professional development (PD) credit, depending on district and state requirements.

How much does Generative AI for Educators cost?

The Generative AI for Educators course is provided at no cost.

Who designed Generative AI for Educators?

Generative AI for Educators was designed by AI experts at Google in collaboration with MIT RAISE (Responsible AI for Social Empowerment and Education).

In what languages is Generative AI for Educators available?

Generative AI for Educators is currently available in English, and we are working to offer this course in additional languages. Please check back here for updates.

Looking to help your middle school students learn AI skills?

Check out Experience AI . Created by Google DeepMind and The Raspberry Pi Foundation, this no cost program provides ready-to-use resources to introduce AI technology in middle school classrooms, including lesson plans, slide decks, worksheets, and videos on AI and machine learning.

What is generative AI?

Generative AI is artificial intelligence that can generate new content, such as text, images, or other media.

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Sudowrite is the non-judgemental, unexpectedly creative AI writing tool that sounds like you, not a robot.

The non-judgemental, unexpectedly creative ai writing tool that sounds like you, not a robot..

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Write a novel from start to finish. In a week .

Story Bible takes you step-by-step from idea, to outline, to beating out chapters, and then writes 1,000s of words, in your style .

When the words just won’t come out – Write can do it for you

Write is like autocomplete on steroids. It analyzes your characters, tone, and plot arc and generates the next 300 words in your voice. It even gives you options!

Pacing too fast? Presto expand–o

No matter how much time you spend planning, you’ll end up with some sections that feel rushed. Expand magically builds out your scenes so the pacing doesn’t take readers out of the story.

Everyone knows it’s 10% writing and 90% editing

You could rewrite the same sentence 100 times... or you could make the computer do it..

Rewrite: the super-flexible, infinitely-tenacious revision buddy who always takes direction (and doesn’t have an ego!)

Need an extra pair of eyes? Sudowrite never sleeps, has read a million stories, and can read yours in 10 seconds.

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Find the perfect word, every time.

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Explore plot points, character arcs, and themes in a magic ai canvas..

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Find the perfect name, magic item, or title.

Brainstorm: the infinite “yes, and” buddy that never runs out of ideas. Thumbs up your favorites and it’ll learn and give you better ones.

Bringing it to life is easier when you can see it.

Visualize brings your character sheets and worldbuilding documents to life with art generated from your descriptions.

A writing app should feel like home

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We have six dark modes you can choose from

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Go full screen on focus mode to keep distractions away

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Organize your drafts and chapters neatly within your projects

A deep dive on how Sudowrite writes 14,000 unique pieces of prose per day without plagiarizing

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Sudowrite is based on GPT-3 and GPT-4, 175+ billion parameter Transformer models, which learn general concepts from their training data. The bigger the model, the more complex these concepts can be. The model generates text by guessing what's most likely to come next, one word at a time. Kind of like autocomplete on your phone. It’s not copying and pasting sentences from a database. It actually writes each word individually.

Since each passage is generated one word at a time, it’s highly unlikely Sudowrite would choose the same word dozens or hundreds of times in a row. The first word or two might be similar, but the further you get from the starting point, the more unique the text becomes.

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“But does it really never plagiarize? I want to run a test where I make it plagiarize.” Sudowrite is for creating your own original writing , but yes, you can force Sudowrite to plagiarize if you try. Here’s how… Paste in the first paragraph of Harry Potter*, and Sudowrite will confidently output the second paragraph. That’s because the second paragraph of Harry Potter exists in many places in the web, like book reviews, and Sudowrite assumes you have the best intentions. But start with your own work, and you’ll only get completely original suggestions. * Don’t do this. It’s against our terms of service to use Sudowrite to plagiarize.

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Steven Zeitchik · Nov, 2021

The A.I. was coming up with impressively cogent paragraphs of analysis — some, frankly, better than what I could have generated

Kevin Roose · Nov, 2021

For writers who don’t like writing—which, in my experience, is nearly all of us— Sudowrite may well be a salvation.

Stephen Marche · Apr, 2021

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Who’s behind this?

Our founders are writers Amit Gupta and James Yu . Our investors include the founders of Twitter, Medium, Gumroad, Rotten Tomatoes, WordPress and the writers/directors of Big Fish, Aladdin, Bourne Ultimatum, Oceans Twelve, and many more. We’re in this because we believe in the power of storytelling.

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Frequently asked questions.

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Generative AI & Writing

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Published May 21, 2024

A Kahn Institute Short-Term Project

Wednesday, Sept. 18, 12:15-1:10 p.m., Thursday, Sept. 19, 4:30-7:30 p.m., Thursday, Sept. 26, 4:30-7:30 p.m., and Friday, Sept. 27, 4:30-7:30 p.m.

Organizing Fellows

Julio Alves, Jacobson Center Director and English Language & Literature MJ Wraga, Psychology

Project Description

In an age where technology intersects with scholarship, creativity, and pedagogy, Generative AI promises intriguing possibilities for scholars, creative writers, and educators alike. Facilitated by Julio Alves, Jacobson Center, and MJ Wraga, psychology, co-directors of Smith’s Writing and Public Discourse initiative, this short-term Kahn seminar will delve into the intricacies of Generative AI and its particular applications in writing, fostering a dynamic dialogue on the fragile future of human-generated writing in literature, academia, and beyond. Guest speakers and AI experts Tim Laquintano of Lafayette College and Whitney Gegg-Harrison of the University of Rochester will enrich our conversation. Whether you're a seasoned CS? scholar or an inquisitive newcomer, join us for an enriching exploration of this cutting-edge technology and its potential impact on the world of writing and education. Mark your calendars and prepare for this timely, inspiring journey with us. We look forward to your presence and insightful contributions.

(This first draft of this invitation was composed by ChatGPT 3.5. Subsequent drafts were edited by human beings.)

Statements of interest are due Friday, June 7. Fellows will be notified no later than Friday, June 14.

Ads creativity and performance at scale with Google AI

May 21, 2024

[[read-time]] min read

New creative asset generation controls, immersive ads experiences, visual storytelling features, and more from Google Marketing Live.

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An evolution of attention is underway. People have seemingly endless ways to shop, communicate and stay entertained online. For advertising to stand out, it needs to be relevant and helpful — in fact, that's more important than ever before. Businesses need to be on every surface with creative assets that capture people's attention.

Until now, this has felt impossible to do at scale — but generative AI is changing that. This technology is helping us better meet advertisers’ needs and unlock new possibilities across the marketing process, from new immersive ads experiences to high-performing creative assets. As we build this next era of marketing together, we're sharing our latest creative asset generation controls, new ads experiences, visual storytelling features and more at Google Marketing Live (GML).

Scaling creative production in line with brand standards

We’ve been working on making it easier and faster to produce great creative assets for ads across marketing channels. Creative asset variety is crucial to strong ads, and achieving this has gotten easier for more advertisers with generative AI in Performance Max . We found that advertisers who improve their Performance Max Ad Strength to Excellent see 6% more conversions on average. 1 Event Tickets Center was one of the earliest beta testers for asset generation in Performance Max, which has helped the team accelerate creative production by 5x with less time and effort.

Still, performance isn’t everything for creative. Assets also need to be in line with brand standards. Soon, advertisers can share their font and color guidelines in Performance Max, as well as provide helpful image reference points to generate new asset variations.

Create high-performing ads with Google AI while making sure they meet your brand standards

We're also introducing new image editing capabilities so advertisers can try adding new objects, extending backgrounds, and cropping to adapt images to any format, size and orientation. Additionally, retailers will be able to highlight their products from their Google Merchant Center feeds and take advantage of these editing capabilities. As advertisers explore creative ideas, Google AI will generate more recommendations showing products in different contexts and scenarios, so advertisers can select the assets they love and use them across their marketing channels.

Bring your own products front and center with AI-powered image editing

Bringing creative to life with new immersive ad experiences

Even with great image and text assets in ads, it can be hard for consumers to feel confident making purchase decisions online without seeing a product in person or trying it on. Yet our research shows this type of confidence is critical for brands. Generative AI can help businesses better convey offerings and inspire confidence in consumers right from the ad. Advertisers will soon be able to enhance their Shopping ads with immersive visuals, including Virtual Try-On and generated 3D ads, and we’re introducing a feature that lets shoppers dive deeper into an ad to see product videos, summaries and similar products provided by the advertiser.

Boost shopper confidence through your Shopping ads with video highlights

We’re also currently testing a new ad experience in Search to help guide people through complex purchase decisions. Let’s say friends are renovating and they search for “short term storage.” Clicking an ad for a storage facility may lead to a dynamic experience where AI helps them figure out what they need. If they share details, like photos of furniture and their budget, Google AI could then recommend storage unit sizing and packing materials with a link to purchase on the website.

Unlock a new interactive ad experience with Search ads that provide AI-powered recommendations

Driving results through visual storytelling

Beyond visually immersive ads, there are opportunities to connect with consumers on our most visually immersive channels — YouTube, Discover and Gmail. We launched Demand Gen campaigns last year, which can reach up to 3 billion users monthly. 2 These campaigns have helped advertisers drive demand and conversions, and soon we’ll roll them out to even more advertisers on Display & Video 360 and Search Ads 360.

YouTube Shorts has over 2 billion logged-in users every month, 3 discovering new favorites through short-form video. We’re introducing new formats and features to help businesses engage with these viewers, including vertical ad formats, ad stickers to drive action, and new animated image ads automatically created from images in advertisers’ accounts and Demand Gen product feeds.

Showcase relevant products with animated image ads on YouTube Shorts

Creating opportunities to help consumers along their information journey

Ads have always been an important part of consumers’ information journeys. At Google I/O , we announced that AI Overviews in Search are rolling out to everyone in the U.S., with more countries coming soon. AI Overviews will appear in search results when they're particularly helpful beyond what Search offers today. With AI Overviews, people are visiting a greater diversity of websites for help with more complex questions; we also see that the links included in AI Overviews get more clicks than if the page had appeared as a traditional web listing for that query. In fact, we've found that people who use AI Overviews actually use Search more and are more satisfied with their results. And when people click to links from AI Overviews, these clicks are higher quality, where users are more likely to spend more time on the site. As we continue to test and evolve the Search experience, we’ll remain focused on sending valuable traffic to publishers and creators.

In early testing, we’ve heard that people find the ads appearing above and below the AI-generated overview helpful. Soon, we’ll start testing Search and Shopping ads in AI Overviews for users in the U.S. They will have the opportunity to appear within the AI Overview in a section clearly labeled as “sponsored” when they’re relevant to both the query and the information in the AI Overview. There’s no action needed from advertisers: Ads from existing Search, Performance Max, and Standard Shopping campaigns have the opportunity to appear within the AI Overview. As we move forward, we’ll continue to test and learn new formats, getting feedback from advertisers and the industry.

Reach consumers in new moments of exploration. Soon, we’ll start testing Search and Shopping ads in AI Overviews for users in the U.S.

Improving results with a strong foundation of measurement

While all of these updates are helpful for businesses, AI is only as good as the information it's given. To get the most out of AI, businesses need a strong measurement strategy built on a foundation of first-party data. Many businesses have data from different sources, from conversion data to email lists and surveys. Until now, getting a complete picture has been very complex, especially for small businesses. But we’re making that much simpler for advertisers with Google Ads Data Manager, which is now available to everyone. This allows advertisers to easily bring sources of first-party data together in one place to use, analyze and activate — so what once could take weeks or months now takes minutes.

Browser window showing Google Ads Data Manager, highlighting how to bring your first party data from the Google tag and connected products including Google Merchant Center and BigQuery.

Simplify the process of connecting and using your first-party data with Google Ads Data Manager

Putting Google AI to work for businesses

Guided by our AI principles and customer feedback, these latest AI innovations will help marketers think bigger, create bolder and drive results faster. Google AI is there to assist, not replace: Human creativity, strategic insight and expertise will always be a marketer’s advantage. We also recognize that as exciting as these advancements are, the shift to AI is a lot to manage for many businesses. We're being thoughtful about evolving our products with that in mind, and we look forward to your feedback along the way.

Video showing how some of today’s announcements can help advertisers.

At GML, we’ll also be introducing new ways merchants can use generative AI to connect more deeply with customers and market their brands and products more efficiently. You can also learn more about our merchant and ads innovations on our Help Center .

Watch the keynote and digital post-show for more news and join the conversation at #GML2024.

More Information

Google Internal Data, Global, Performance Max asset groups before/after a change in Ad Strength, Q1-Q3 2023.

Google Internal Data, Global, July 2023.

Google/YouTube Internal Data, Global, May 2023.

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Rytr's AI generates original and compelling content that sounds like you , not a robot.

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AI-assisted writing is quietly booming in academic journals. Here’s why that’s OK

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Lecturer in Bioethics, Monash University & Honorary fellow, Melbourne Law School, Monash University

Disclosure statement

Julian Koplin does not work for, consult, own shares in or receive funding from any company or organisation that would benefit from this article, and has disclosed no relevant affiliations beyond their academic appointment.

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If you search Google Scholar for the phrase “ as an AI language model ”, you’ll find plenty of AI research literature and also some rather suspicious results. For example, one paper on agricultural technology says:

As an AI language model, I don’t have direct access to current research articles or studies. However, I can provide you with an overview of some recent trends and advancements …

Obvious gaffes like this aren’t the only signs that researchers are increasingly turning to generative AI tools when writing up their research. A recent study examined the frequency of certain words in academic writing (such as “commendable”, “meticulously” and “intricate”), and found they became far more common after the launch of ChatGPT – so much so that 1% of all journal articles published in 2023 may have contained AI-generated text.

(Why do AI models overuse these words? There is speculation it’s because they are more common in English as spoken in Nigeria, where key elements of model training often occur.)

The aforementioned study also looks at preliminary data from 2024, which indicates that AI writing assistance is only becoming more common. Is this a crisis for modern scholarship, or a boon for academic productivity?

Who should take credit for AI writing?

Many people are worried by the use of AI in academic papers. Indeed, the practice has been described as “ contaminating ” scholarly literature.

Some argue that using AI output amounts to plagiarism. If your ideas are copy-pasted from ChatGPT, it is questionable whether you really deserve credit for them.

But there are important differences between “plagiarising” text authored by humans and text authored by AI. Those who plagiarise humans’ work receive credit for ideas that ought to have gone to the original author.

By contrast, it is debatable whether AI systems like ChatGPT can have ideas, let alone deserve credit for them. An AI tool is more like your phone’s autocomplete function than a human researcher.

The question of bias

Another worry is that AI outputs might be biased in ways that could seep into the scholarly record. Infamously, older language models tended to portray people who are female, black and/or gay in distinctly unflattering ways, compared with people who are male, white and/or straight.

This kind of bias is less pronounced in the current version of ChatGPT.

However, other studies have found a different kind of bias in ChatGPT and other large language models : a tendency to reflect a left-liberal political ideology.

Any such bias could subtly distort scholarly writing produced using these tools.

The hallucination problem

The most serious worry relates to a well-known limitation of generative AI systems: that they often make serious mistakes.

For example, when I asked ChatGPT-4 to generate an ASCII image of a mushroom, it provided me with the following output.

It then confidently told me I could use this image of a “mushroom” for my own purposes.

These kinds of overconfident mistakes have been referred to as “ AI hallucinations ” and “ AI bullshit ”. While it is easy to spot that the above ASCII image looks nothing like a mushroom (and quite a bit like a snail), it may be much harder to identify any mistakes ChatGPT makes when surveying scientific literature or describing the state of a philosophical debate.

Unlike (most) humans, AI systems are fundamentally unconcerned with the truth of what they say. If used carelessly, their hallucinations could corrupt the scholarly record.

Should AI-produced text be banned?

One response to the rise of text generators has been to ban them outright. For example, Science – one of the world’s most influential academic journals – disallows any use of AI-generated text .

I see two problems with this approach.

The first problem is a practical one: current tools for detecting AI-generated text are highly unreliable. This includes the detector created by ChatGPT’s own developers, which was taken offline after it was found to have only a 26% accuracy rate (and a 9% false positive rate ). Humans also make mistakes when assessing whether something was written by AI.

It is also possible to circumvent AI text detectors. Online communities are actively exploring how to prompt ChatGPT in ways that allow the user to evade detection. Human users can also superficially rewrite AI outputs, effectively scrubbing away the traces of AI (like its overuse of the words “commendable”, “meticulously” and “intricate”).

The second problem is that banning generative AI outright prevents us from realising these technologies’ benefits. Used well, generative AI can boost academic productivity by streamlining the writing process. In this way, it could help further human knowledge. Ideally, we should try to reap these benefits while avoiding the problems.

The problem is poor quality control, not AI

The most serious problem with AI is the risk of introducing unnoticed errors, leading to sloppy scholarship. Instead of banning AI, we should try to ensure that mistaken, implausible or biased claims cannot make it onto the academic record.

After all, humans can also produce writing with serious errors, and mechanisms such as peer review often fail to prevent its publication.

We need to get better at ensuring academic papers are free from serious mistakes, regardless of whether these mistakes are caused by careless use of AI or sloppy human scholarship. Not only is this more achievable than policing AI usage, it will improve the standards of academic research as a whole.

This would be (as ChatGPT might say) a commendable and meticulously intricate solution.

  • Artificial intelligence (AI)
  • Academic journals
  • Academic publishing
  • Hallucinations
  • Scholarly publishing
  • Academic writing
  • Large language models
  • Generative AI

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Lecturer / Senior Lecturer - Marketing

google creative writing ai

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COMMENTS

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