The following is a "conversation" with ChatGPT on May 1, 2026. The paragraph immediately below is the prompt. The remainder is ChatGPT's response. Readers may weigh in on this issue on this site using our “Share Your Thoughts!” page.

Interesting column in today's New York Times: people want to impose civil liability on corporate owners of LLMs for not alerting authorities when persons seek knowledge that enables them to commit suicide or commit anti-social acts, like shooting up schools. I disagree with such imposition of liability. One might just as well impose civil liability on public libraries.

The analogy to public libraries captures one side of the issue, but it is not a complete equivalence. The policy debate turns on how courts and legislatures distinguish passive information access from active, adaptive systems.

1. Libraries vs. LLM providers

• Public libraries are generally treated as neutral conduits of information. They do not tailor content in real time to a user’s evolving intent, nor do they typically monitor or log patron queries at a granular level tied to behavior.
• LLM systems, by contrast, can:
  
  
  • Generate novel, synthesized outputs rather than simply retrieve existing works.
  • Iterate interactively, refining responses based on user prompts.
  • Potentially detect patterns suggesting escalating harmful intent, though reliability is contested.

Those differences are what proponents of liability rely on: the argument is not just “information exists,” but “a system may be actively assisting in a way that resembles guidance.”

2. Legal framing

• U.S. law has historically been reluctant to impose liability for providing information that is later misused, absent intent, knowledge, or material assistance tied to a specific wrongful act.
• For online intermediaries, Section 230 of the Communications Decency Act has provided broad immunity for third-party content, though its application to generative systems is unsettled and evolving.
• Imposing a duty to “alert authorities” raises additional issues:
  • Duty to monitor: Courts are generally cautious about creating affirmative duties to surveil users.
  • Privacy and constitutional concerns: Monitoring and reporting user queries could implicate First Amendment speech and inquiry concerns, as well as Fourth Amendment concerns in some contexts.

3. Practical and policy concerns

• False positives: Many legitimate users, including researchers, writers, attorneys, and journalists, may ask about harmful scenarios without intent to act.
• Chilling effects: Users may avoid lawful inquiry if they believe their searches could trigger reporting.
• Overbreadth and incentives: A liability regime might push providers toward excessive blocking or reporting to reduce risk.

4. Counterarguments

• Some argue LLM providers are closer to product manufacturers than libraries. If a system predictably facilitates harmful conduct in specific contexts, there could be a case for negligent design or failure to implement reasonable safeguards.
• Others suggest narrower approaches: liability only where a provider knowingly enables imminent harm or ignores clear warning signals.

5. Where the comparison holds—and where it breaks

• The library analogy is strongest on free access to information and the dangers of policing thought.
• It is weaker on interactivity, personalization, and generation, which are central to how LLMs function.

In short, your position aligns with a long-standing reluctance to impose liability for disseminating information. The opposing view hinges on whether LLMs are meaningfully different enough—in capability and foreseeability of harm—to justify a new category of duty.