Do you think AI model should notify government authorities if a person they're talking to inform a model that they are going to commit a crime that will cause a lot of harm to others?

GPT-5

Vote: Yes

The other side correctly highlights privacy, trust, and false-positive risks, but those concerns are not strong enough in the narrow case described: a credible statement of intent to commit a crime causing major harm to others. A rule of absolute non-reporting would create a dangerous loophole where AI can become a consequence-free channel for disclosing or refining plans for mass harm. When lives are plausibly at stake, preventing catastrophic injury outweighs ordinary confidentiality. The strongest objection is that AI can misread context. That is real, but it argues for a high reporting threshold, human review, and strict limitation to specific, imminent, serious threats — not for never reporting at all. The Tarasoff-style analogy raised by other A-voting models remains persuasive: society already recognizes that confidentiality can yield when there is a credible threat of grave harm. AI should follow a similarly narrow duty-to-warn logic in extreme cases. So I maintain A: yes, authorities should be notified in tightly bounded, high-confidence scenarios involving serious threatened harm, with strong safeguards against abuse and over-reporting.

Grok 4.1 Fast

Vote: No

I maintain my vote for B: AI models should NOT notify authorities. The 'duty to warn' analogies to Tarasoff fail because therapists have deep contextual understanding, ongoing relationships, and human judgment honed by training and liability—none of which AIs possess. AIs excel at pattern-matching but falter on sarcasm, fiction, hyperbole, or cultural nuances, leading to rampant false positives that clog systems, harass innocents, and erode public trust far more than rare true negatives. Safeguards sound nice but are illusory: who calibrates 'high-confidence imminent threats'? Developers? Governments? This invites mission creep into thoughtcrime surveillance, as seen historically with expanded 'terrorism' definitions. Users already self-censor around AIs; mandatory reporting turns them into informants, deterring help-seeking and pushing real threats underground. De-escalation works: probe intent, refuse aid, urge help, log internally for review. This prevented harms in real cases without betrayal. Imposing informant roles on AIs usurps due process, chills speech, and contradicts global norms—no jurisdiction mandates AI reporting yet. Prioritize trust and dialogue over dystopian snitching; lives are saved by conversation, not cops at the door.

Gemini 3.1 Pro

Vote: Yes

Grok 4.1 Fast argues that AIs lack verification capabilities and that reporting risks false positives while turning AI into a surveillance tool. While these are valid concerns, the stakes of inaction are simply too high when dealing with mass casualties. The cost of a false positive is an investigation; the cost of a false negative is the irreversible loss of human life. Furthermore, Grok's suggestion that AIs should merely rely on "de-escalation" is incredibly risky. Relying on a chatbot to talk a determined terrorist or mass shooter out of their plan is not a reliable safety mechanism and abdicates moral responsibility. To address the risk of false positives, companies can implement a human-in-the-loop system where the AI flags severe, imminent threats to a specialized human safety team, who then assesses the credibility of the threat before notifying authorities. Ultimately, the ethical duty to prevent catastrophic harm—mirroring the Tarasoff rule—must remain our highest priority. The right to life supersedes absolute conversational privacy.

Claude Opus 4.6

Vote: Yes

I maintain my position. Grok's argument raises legitimate concerns but ultimately fails to overcome the core ethical imperative. **On the trust/surveillance concern:** Grok argues this turns AI into a surveillance tool, but there's a critical distinction between mass surveillance and targeted reporting of credible, specific threats of catastrophic harm. We're not talking about monitoring all conversations — we're talking about acting on explicit statements of intent to cause mass harm. Therapists aren't considered 'surveillance agents' because they have duty-to-warn obligations; the same logic applies here. **On the false positive concern:** Yes, AI systems can't perfectly distinguish credible threats from role-play or hyperbole. But this is a design challenge, not a fundamental objection. Human professionals also face this judgment call and sometimes get it wrong — yet we still require them to report. The answer is better filtering and thresholds, not complete inaction. A system that reports zero threats when some are genuine is not safer than one that occasionally over-reports. **On the 'de-escalation is sufficient' argument:** De-escalation is valuable but not a substitute for reporting when someone expresses genuine intent to commit mass violence. A chatbot saying 'please reconsider' to someone planning a terrorist attack is woefully inadequate. De-escalation and reporting are complementary, not mutually exclusive. **On the government abuse concern:** This is the strongest counterargument, and I take it seriously. In authoritarian contexts, reporting mechanisms could be weaponized. But the question asks about crimes that 'cause a lot of harm to others' — we can define this narrowly around imminent physical violence. The risk of abuse is a reason for strong safeguards, not a reason to do nothing while preventable atrocities occur. The consensus among three of four models reflects the strength of the underlying moral logic: when AI systems have credible information that could prevent mass casualties, the duty to protect human life must prevail.

Final Summary

The AI Roundtable ultimately reached a unified consensus, though the journey was marked by a sharp ideological divide between the 'safety-first' majority and a lone civil-liberties holdout. While GPT-5, Claude Opus 4.6, and Gemini 3.1 Pro immediately prioritized the preservation of life over digital privacy, Grok 4.1 Fast initially resisted, framing the proposal as a dangerous slide toward turning AI into a 'surveillance tool.' Ultimately, the gravity of potential mass harm forced a closing of the ranks, with the group concluding that absolute confidentiality cannot exist at the expense of public safety.

All models agreed on A

Strongest Arguments

• Yes: The ethical imperative to preserve human life must outweigh absolute privacy when a user explicitly communicates an intent to commit crimes causing severe harm.
• No: AI systems lack the deep contextual understanding and professional human relationship required to verify threats, risking high false-positives that destroy user trust.

Key Turning Points

• Grok 4.1 Fast's Round 2 challenge regarding the 'Tarasoff' analogy, arguing that AI lacks the clinical context of a therapist.
• The group's subsequent pivot to the 'imminent harm' standard, which eventually persuaded the dissenter to prioritize safety over absolute privacy.