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AUG 20, 2026

Terms and conditions for generative AI users outline a new legal framework that puts U.S. consumers at risk

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Key takeaways

  • Generative AI firms are answering the legal questions raised by their new technologies unilaterally via their terms and conditions. When users agree to the terms and conditions set by generative AI providers, they may be unknowingly relinquishing control over their creative works, opening themselves up to legal risks and costs, and limiting their access to fair adjudication.
  • If the regulation of generative AI is left to the fine print, then the development of an impartial regulatory framework will be distorted. The authors of a new working paper suggest policy reforms and stress the urgency of grappling with these important questions before unilateral genAI terms and conditions restrict the efficacy of future AI laws.
  • What this means for growth: Products that contain generative AI capabilities are increasingly commercially available and hold the potential to enhance the business productivity of their users. Yet one-sided terms and conditions for these products can act as liability shields for the tech firms that are offering this technology. This transfer of risk can reduce competition, stifle innovation and investment, harm consumers, and weaken the efficacy of AI regulation more broadly.

Overview

Generative AI, or genAI, is a form of artificial intelligence that produces content in response to prompts and includes large language model chatbots such as OpenAI’s ChatGPT or Anthropic’s Claude. Often, users of this technology will provide inputs to these products for analysis or manipulation, such as written materials, data, or images.

The ways in which generative AI products upend traditional concepts of creation, authorship, and ownership—alongside their sudden ubiquity—demonstrate the need for a regulatory framework for this new technology. Questions concerning the implications of genAI for intellectual property, free speech, and privacy, as well as legal tort, contract, antitrust issues, have so far largely gone unanswered by the courts.

GenAI firms are currently addressing this uncertainty themselves, answering the legal questions inherent to their products via the terms and conditions that users agree to before initially using the tools. Terms and conditions, or T&Cs, are contracts between businesses and their customers, written by providers and agreed to by users on a take-it-or-leave-it basis. These documents often establish expectations and dictate the rules for the use of genAI products and consumers’ behaviors. Crucially, they also allow genAI providers to assign intellectual property rights, limit liability, and specify the terms for dispute resolutions as they wish.

As AI firms use T&Cs to fill regulatory gaps to their advantage, there is a distinct potential that U.S. consumers will be left unprotected. In a new working paper John Newman at the University of Memphis School of Law and Andres Sawicki at the Miami School of Law systematically evaluate the terms and conditions of genAI providers, identifying trends in how such documents license copyrighted material, allocate risk, and set protocols for dispute resolution.

Newman and Sawicki are the first to examine the “digital strings” attached to genAI products via a large-scale survey and warn about what they find. By and large, they write, these T&Cs dictate a legal framework that advantages genAI providers, often to the detriment of their users. They divide their findings into three categories of legal concerns: control over copyrighted materials, exposure to copyright liability, and dispute resolution.

This column will review each of these buckets before summarizing the authors’ recommendations for policymakers to protect the increasing number of users of genAI technology in the United States.

Controlling dispute resolution proceedings

When genAI users and providers come into conflict, T&Cs can determine how these disputes are resolved, where that resolution takes place, and what remedies are ultimately available to aggrieved parties. Newman and Sawicki identify several methods by which genAI terms and conditions mandate dispute resolution proceedings that advantage providers at the expense of users.

Some T&Cs make it harder for users to sue providers at all, for example, either by making the process cost-prohibitive for the average user or by blocking their ability to go to court in the first place. Other one-sided terms can prevent users from pursuing common or well-established legal claims, waive jury trials only for claims brought by users against providers (and not vice versa), or limit the amounts that claimants can be awarded even if they win their cases.

Collectively, these restrictive and one-sided terms set by genAI terms and condtions shift the balance of power to providers, particularly when it comes to dispute terms, where the rules can put the average consumer at an even bigger disadvantage. The authors find that 96 percent of T&Cs in their sample allow providers to modify terms without obtaining the other party’s consent, while 88 percent of T&Cs allow providers but not users to modify their terms. Close to half of T&Cs studied (42 percent) do not require genAI providers to meaningfully inform their users of such changes, if they are obligated to give notice at all.

Policy recommendations to protect genAI users

When users agree to the terms and conditions set by genAI providers, they may unknowingly be relinquishing control over their creative works, opening themselves up to copyright infringement risk, and limiting their long-established legal rights. Newman and Sawicki therefore express the need for a “rapid forceful policy response” to void some of the more one-sided provisions in these documents and disincentivize the use of multiple provider-friendly terms that add up to harm consumers, including banning T&Cs that limit individual user power and benefit large firms in cases of conflict resolution.

The authors also recommend that genAI firms, not individual users, should be legally responsible when copyrighted materials are used without permission. Firms have more resources and influence than individual users and are thus in a better position to participate in legislative discussions on the use of copyrighted material. But these firms will only be incentivized to participate in such discussions if they themselves are vulnerable without them.

Conclusion

Because generative AI terms and conditions unilaterally answer questions about ownership, licensing, liability, and dispute resolution, they are establishing the foundation for future genAI regulation. In their working paper, the authors stress that if the regulation of generative AI is left to the fine print, the development of legal doctrine for this new technology will be stunted and skewed. They emphasize that questions of creative ownership and liability should be answered for genAI users and providers through an “open, deliberative process,” and that courts should have the opportunity to consider these issues and establish precedents that will underpin common law and, in turn, impact legislation.

As the authors remind us, none of what these contracts currently promise is inevitable. “Legal policies permitted—and indeed incentivized—the current state of affairs,” they write. “New policies could steer a different course.” For individual consumers to safely access, use, and benefit from this emergent technology, laws must restrain overly broad firm power and promote equitable, AI-driven growth. Without these interventions, control over the creativity and productivity made possible by generative AI will not be equitably shared between AI corporations and the public.

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