Featured Article

Some gen AI vendors say they’ll defend customers from IP lawsuits. Others, not so much.


A robot reading music
Image Credits: DALL-E 2 / OpenAI

A person using generative AI — models that generate text, images, music and more given a prompt — could infringe on someone else’s copyright through no fault of their own. But who’s on the hook for the legal fees and damages if — or rather, when — that happens?

It depends.

In the fast-changing landscape of generative AI, companies monetizing the tech — from startups to big tech companies like Google, Amazon and Microsoft — are approaching IP risks from very different angles.

Some vendors have pledged to defend, financially and otherwise, customers using their generative AI tools who end up on the wrong side of copyright litigation. Others have published policies to shield themselves from liability, leaving customers to foot the legal bills.

While the terms of service agreements for most generative AI tools are public, they’re written in legalese. Seeking some clarity, I reached out to vendors about their policies on protecting customers who might violate copyright with their AI-generated text, images, videos and music.

The responses — and non-responses — were enlightening.

Regurgitating data

Generative AI models “learn” from examples to craft essays and code, create artwork and compose music — and even write lyrics to accompany that music. They’re trained on millions to billions of e-books, art pieces, emails, songs, audio clips, voice recordings and more, most of which came from public websites.

Some of these examples are in the public domain — at least in the case of vendors that trawl the web for training data. Others aren’t, or come under a restrictive license that requires citation or specific forms of compensation.

The legality of vendors training on data without permission is another matter that’s being hashed out in the courts. But what might possibly land generative AI users in trouble is regurgitation, or when a generative model spits out a mirror copy of a training example.

On the top are images generated by Stable Diffusion from random captions in the model’s training set. On the bottom are images that the researchers prompted to match the originals.
On the top are images generated by Stable Diffusion, an image-generating AI, from random captions in the model’s training set. On the bottom are images prompted to match the originals. Image Credits: Somepalli et al.

Microsoft, GitHub and OpenAI are currently being sued in a class action motion that accuses them of violating copyright law by allowing Copilot, a code-generating AI, to regurgitate licensed code snippets without providing credit. Elsewhere, thousands of writers have signed an open letter decrying generative AI technologies that “mimic and regurgitate” their “language, stories, style and ideas.”

The cases keep coming.

Authors in California and New York have sued OpenAI for alleged IP theft of their works. Image-generating tool vendors, including Stability AI and Midjourney, are the subject of lawsuits brought by artists and stock image sites like Getty Images. And Universal Music Group is seeking to ban AI-generated music mimicking the style of musicians it represents from streaming platforms, sending takedown notices to have the songs removed.

Perhaps it’s no surprise, then, that in a recent survey of Fortune 500 companies by Acrolinx, nearly a third said that intellectual property was their biggest concern about the use of generative AI.

The threat of running afoul of copyright with a generative AI tool hasn’t stopped investors from pouring billions into the startups creating those tools. One wonders, however, whether the situation will remain tenable for much longer.

A question of indemnity

In the midst of the uncertainty, you might think that generative AI vendors would stand behind their customers in the strongest terms — if for no other reason than to their allay their fears of IP-related legal challenges.

But you’d be wrong.

From the language in some terms of service agreements — specifically the indemnity clauses, or the clauses that specify in which cases customers can expect to be reimbursed for damages from third-party claims — it’s clear that not every vendor’s willing to chance a court decision forcing them to rethink their approach to generative model training, or in the worst case their business model.

Anthropic, for instance, which recently inked a deal with Amazon to raise as much as $4 billion and is reportedly seeking another $2 billion investment from Google and others, reserves the right to “hold harmless” itself and partners from damages arising from the use of its generative AI — including those related to IP.

Point blank, I asked Anthropic, which offers strictly text-generating models, whether it would legally or financially support a customer implicated in a copyright lawsuit over its models’ outputs. The company declined to say.

AI21 Labs, another well-funded generative AI startup building a suite of text editing tools, also declined to give an answer. So I looked at its policy.

A21 Labs says that it might “assume exclusive defense and control” of a lawsuit against a customer if the customer chooses not to defend or settle it themselves. But it won’t pay for the privilege; it’ll be at the customer’s own expense.

OpenAI — arguably the most successful generative AI vendor today, with over $10 billion in venture capital and revenue approaching $1 billion — pointed me to its terms of use, which limit the company’s liability to “the amount [a customer] paid for [an OpenAI] service that gave rise to [a] claim during the 12 months before the the liability arose or $100.” That’s the best-case scenario for customers; OpenAI’s policy makes it clear that the company, in many if not most cases, won’t be a party to or defend against copyright lawsuits targeting its users.

Vendors building image- and video-generating AI, where the potential copyright violations tend to be a bit more obvious, aren’t much more supportive contractually than their text-first rivals.

Stability AI, which develops music-generating models in addition to image- and text-generating ones, referred me to the terms for its API. The company leaves it to customers to defend themselves against copyright claims and — unlike some other generative AI vendors — has no payout carve-out in the event that it’s found liable.

Midjourney and Runway.ai didn’t respond to my emails — but I found their terms. Midjourney’s policy releases the company from liability for third-party IP damages. Runway.ai’s does, as well.

Fine print

Now, some vendors — perhaps becoming more attuned to the concerns of enterprise customers considering adopting generative AI, or looking to position themselves as a “safer” alternative — aren’t shying away from committing to protecting customers in the event that they’re sued for copyright infringement. To a point.

Amazon, which recently launched a platform for running and fine-tuning generative AI models, called Bedrock, says that it’ll indemnify (i.e. defend) customers against claims alleging the model infringes on a third-party’s IP rights. But Amazon’s indemnification policy only applies to the company’s in-house family of text-analyzing models, Titan, as well as Amazon’s code-generating service, CodeWhisperer.

The CodeWhisperer indemnity is broader and applies to all IP claims, including trademarks. However, it requires at least a CodeWhisperer Professional subscription with copyright-defending filtering features enabled. Free users of CodeWhisper aren’t afforded the same protections. And customers must agree to let AWS control their defense and settle “as AWS deems appropriate.”

IBM also provides IP indemnity for its generative AI models, Slate and Granite, available through its Watsonx generative AI service.

“Consistent with IBM’s approach to its indemnification obligation, IBM doesn’t cap its indemnification liability for IBM-developed models,” an IBM spokesperson told TechCrunch via email. “This applies to current [and] future IBM-developed Watsonx models.”

Google wouldn’t respond to my emails. But from the company’s terms, it’d appear that Google offers some defense for customers against third-party allegations of IP infringement arising from its text- and image-generating models. However, Google says that it might suspend a customer’s use of the allegedly infringing model if it can’t find “commercially reasonable” remedies.

Google-backed Cohere, too, has a provision in its terms suggesting that it’ll “defend, indemnify and hold harmless” customers facing third-party claims alleging that Cohere’s models infringe on IP. Given Cohere’s heavy enterprise focus, that’s not surprising.

Microsoft recently made a splashy announcement that it’ll pay legal damages on behalf of customers using its AI products if they’re sued for copyright infringement — so long as those customers use “guardrails and content filters” built into its products.

Which products does it pertain to? That’s where it gets tricky.

Microsoft says its indemnity policy covers paid versions of its portfolio of AI-powered “Copilot” services (including the Microsoft 365 Copilot for Word, Excel and PowerPoint) and Bing Chat Enterprise, the enterprise version of its chatbot on Bing. It also extends to GitHub Copilot, Microsoft’s code-generating service co-developed with OpenAI.

But in its Azure policy, Microsoft clarifies that customers using “previews” of generative AI features powered by its Azure OpenAI Service are responsible for responding to third-party claims of copyright infringement.

Kate Downing, an IP lawyer based in Santa Cruz, takes issue specifically with the Copilot indemnity provision, arguing that — given the vagueness of the provision and its exclusions — the upfront costs of enforcing might be too high for a business to swallow.

By contrast, Adobe claims to offer “full indemnity” protection for users of Firefly, its generative AI art platform, asserting its models are trained on stock images for which Adobe already holds the rights. Users must be enterprise customers, however, and are subject to Adobe’s same liability cap that applies to other tech-based IP claims.

Adobe sometime-rival Shutterstock, as well as Canva, also provides indemnity to all enterprise clients, a policy the company introduced late this summer. So does Getty Images. (Getty Images and Shutterstock, like Adobe, train their models on licensed images.)

The road ahead

It seems likely that, as generative AI vendors, particularly startups, face investor pressure to acquire enterprise customers, indemnification protections will become commonplace. Those customers want the assurance that they won’t be sued over copyright claims, after all.

But if the current state of things is any indication, the policies won’t look similar. And some will have exceptions that’ll make them more attractive in theory than in practice — in other words, more marketing ploy than a legitimate protection.

As a recent article from U.K. law firm Ferrer & Co. puts it, indemnities don’t offer a “get out of jail free card” — nor are they a panacea.

“Our key message is, don’t see the offering of provider indemnities as a complete answer to the risk of third-party infringement claims,” the firm writes on its blog. “Instead, weigh the offering of such indemnities in the balance when determining whether to use that provider’s generative AI tool for a project.”

Gen AI customers would do well to remember that.

More TechCrunch

Copilot, Microsoft’s brand of generative AI, will soon be far more deeply integrated into the Windows 11 experience.

Microsoft Build 2024: All the AI and hardware products Microsoft announced

Hello and welcome back to TechCrunch Space. For those who haven’t heard, the first crewed launch of Boeing’s Starliner capsule has been pushed back yet again to no earlier than…

TechCrunch Space: Star(side)liner

When I attended Automate in Chicago a few weeks back, multiple people thanked me for TechCrunch’s semi-regular robotics job report. It’s always edifying to get that feedback in person. While…

These 81 robotics companies are hiring

The top vehicle safety regulator in the U.S. has launched a formal probe into an April crash involving the all-electric VinFast VF8 SUV that claimed the lives of a family…

VinFast crash that killed family of four now under federal investigation

When putting a video portal in a public park in the middle of New York City, some inappropriate behavior will likely occur. The Portal, the vision of Lithuanian artist and…

NYC-Dublin real-time video portal reopens with some fixes to prevent inappropriate behavior

Longtime New York-based seed investor, Contour Venture Partners, is making progress on its latest flagship fund after lowering its target. The firm closed on $42 million, raised from 64 backers,…

Contour Venture Partners, an early investor in Datadog and Movable Ink, lowers the target for its fifth fund

Meta’s Oversight Board has now extended its scope to include the company’s newest platform, Instagram Threads, and has begun hearing cases from Threads.

Meta’s Oversight Board takes its first Threads case

The company says it’s refocusing and prioritizing fewer initiatives that will have the biggest impact on customers and add value to the business.

SeekOut, a recruiting startup last valued at $1.2 billion, lays off 30% of its workforce

The U.K.’s self-proclaimed “world-leading” regulations for self-driving cars are now official, after the Automated Vehicles (AV) Act received royal assent — the final rubber stamp any legislation must go through…

UK’s autonomous vehicle legislation becomes law, paving the way for first driverless cars by 2026

ChatGPT, OpenAI’s text-generating AI chatbot, has taken the world by storm. What started as a tool to hyper-charge productivity through writing essays and code with short text prompts has evolved…

ChatGPT: Everything you need to know about the AI-powered chatbot

SoLo Funds CEO Travis Holoway: “Regulators seem driven by press releases when they should be motivated by true consumer protection and empowering equitable solutions.”

Fintech lender SoLo Funds is being sued again by the government over its lending practices

Hard tech startups generate a lot of buzz, but there’s a growing cohort of companies building digital tools squarely focused on making hard tech development faster, more efficient and —…

Rollup wants to be the hardware engineer’s workhorse

TechCrunch Disrupt 2024 is not just about groundbreaking innovations, insightful panels, and visionary speakers — it’s also about listening to YOU, the audience, and what you feel is top of…

Disrupt Audience Choice vote closes Friday

Google says the new SDK would help Google expand on its core mission of connecting the right audience to the right content at the right time.

Google is launching a new Android feature to drive users back into their installed apps

Jolla has taken the official wraps off the first version of its personal server-based AI assistant in the making. The reborn startup is building a privacy-focused AI device — aka…

Jolla debuts privacy-focused AI hardware

OpenAI is removing one of the voices used by ChatGPT after users found that it sounded similar to Scarlett Johansson, the company announced on Monday. The voice, called Sky, is…

OpenAI to remove ChatGPT’s Scarlett Johansson-like voice

The ChatGPT mobile app’s net revenue first jumped 22% on the day of the GPT-4o launch and continued to grow in the following days.

ChatGPT’s mobile app revenue saw its biggest spike yet following GPT-4o launch

Dating app maker Bumble has acquired Geneva, an online platform built around forming real-world groups and clubs. The company said that the deal is designed to help it expand its…

Bumble buys community building app Geneva to expand further into friendships

CyberArk — one of the army of larger security companies founded out of Israel — is acquiring Venafi, a specialist in machine identity, for $1.54 billion. 

CyberArk snaps up Venafi for $1.54B to ramp up in machine-to-machine security

Founder-market fit is one of the most crucial factors in a startup’s success, and operators (someone involved in the day-to-day operations of a startup) turned founders have an almost unfair advantage…

OpenseedVC, which backs operators in Africa and Europe starting their companies, reaches first close of $10M fund

A Singapore High Court has effectively approved Pine Labs’ request to shift its operations to India.

Pine Labs gets Singapore court approval to shift base to India

The AI Safety Institute, a U.K. body that aims to assess and address risks in AI platforms, has said it will open a second location in San Francisco. 

UK opens office in San Francisco to tackle AI risk

Companies are always looking for an edge, and searching for ways to encourage their employees to innovate. One way to do that is by running an internal hackathon around a…

Why companies are turning to internal hackathons

Featured Article

I’m rooting for Melinda French Gates to fix tech’s broken ‘brilliant jerk’ culture

Women in tech still face a shocking level of mistreatment at work. Melinda French Gates is one of the few working to change that.

1 day ago
I’m rooting for Melinda French Gates to fix tech’s  broken ‘brilliant jerk’ culture

Blue Origin has successfully completed its NS-25 mission, resuming crewed flights for the first time in nearly two years. The mission brought six tourist crew members to the edge of…

Blue Origin successfully launches its first crewed mission since 2022

Creative Artists Agency (CAA), one of the top entertainment and sports talent agencies, is hoping to be at the forefront of AI protection services for celebrities in Hollywood. With many…

Hollywood agency CAA aims to help stars manage their own AI likenesses

Expedia says Rathi Murthy and Sreenivas Rachamadugu, respectively its CTO and senior vice president of core services product & engineering, are no longer employed at the travel booking company. In…

Expedia says two execs dismissed after ‘violation of company policy’

Welcome back to TechCrunch’s Week in Review. This week had two major events from OpenAI and Google. OpenAI’s spring update event saw the reveal of its new model, GPT-4o, which…

OpenAI and Google lay out their competing AI visions

When Jeffrey Wang posted to X asking if anyone wanted to go in on an order of fancy-but-affordable office nap pods, he didn’t expect the post to go viral.

With AI startups booming, nap pods and Silicon Valley hustle culture are back

OpenAI’s Superalignment team, responsible for developing ways to govern and steer “superintelligent” AI systems, was promised 20% of the company’s compute resources, according to a person from that team. But…

OpenAI created a team to control ‘superintelligent’ AI — then let it wither, source says