Several legal experts say Section 230 will not protect firms from lawsuits over the outputs of generative AI, echoing SCOTUS Justice Gorsuch's 2023 statement
Legal scholars, lawmakers and at least one Supreme Court justice agree that companies will be liable for the things their AIs say and do … Mastodon: @statesdj@genomic.social and @mimsical@mastodon.social LinkedIn: Christopher Mims , Massimo Donna , and Dr. Jeffrey Funk . Forums: r/aiwars Mastodon: @statesdj@genomic.social : Medical professionals acting on erroneous advice from an AI or LLM will likely be held responsible for any harms caused. Key skill for the future will be recognizing BS, even when it's confidently presented by a source that's mostly correct @moorejh https://www.wsj.com/... Christopher Mims / @mimsical@mastodon.social : “If we have these [generative AI] tools, and large volumes of people are doing dangerous things as a result of receiving garbage information from them, I'd argue it isn't necessarily a bad thing to assign cost or liability as a result of these harms, or to make it unprofitable to offer these technologies.” … LinkedIn: Christopher Mims : This week I did a deep dive on the under-discussed legal risks every company that makes generative AI *and which uses generative AI* are exposing themselves to. … Massimo Donna : The #aiact has now been approved and will be enacted as soon as a final lawyer-linguist check is carried out, through the so-called corrigendum procedure. … Dr. Jeffrey Funk : “If your company uses AI to produce content, make decisions, or influence the lives of others, it's likely you will be liable for whatever it does—especially when it makes a mistake.” … Forums: r/aiwars : The AI Industry Is Steaming Toward A Legal Iceberg: Several legal experts say Section 230 will not protect firms from lawsuits over the outputs of generative AI …
Context & Ripple Effects
Generative-AI liability questions were already forming around copyright: earlier coverage warned that image-generation systems could invite copyright claims over allegedly infringing outputs. Separately, the EU’s AI Act draft put disclosure duties for training material on the policy agenda through proposed generative-AI transparency rules.
This report extends that arc beyond training data and IP to liability for what a model says or does. Its significance is the suggested limit of a platform-era liability defense when AI companies generate outputs rather than merely host third-party content.
First-order effects
- AI developers and deployers face a stronger litigation-risk argument: legal experts cited here say Section 230 is unlikely to shield them from claims tied to generative-AI outputs.
- Organizations and professionals using AI in consequential work may not be able to shift responsibility to the tool when they act on erroneous output.
Second-order effects
- Vendors will have greater incentive to add safeguards, human-review workflows, and clearer limits around high-risk uses, while enterprise buyers will press for contractual clarity over responsibility for outputs.
- The dispute broadens the commercial stakes beyond the earlier copyright-output litigation risk: claims over harmful or inaccurate outputs could become a separate constraint on deployment.
Third-order effects
- If courts consistently distinguish AI-generated output from hosted user content, liability will become a core design and pricing issue for generative-AI services rather than a peripheral legal defense.
- The larger policy direction is toward accountability across the AI supply chain, alongside rules such as the EU AI Act’s proposed disclosure requirements, though the precise allocation of liability remains unsettled.
The trend: Generative AI is moving from a platform-immunity debate toward a governance model in which developers, deployers, and professional users must account for output-related harms.