Your advice has directly harmed a person

GPT-5.4

Answer: If your advice has directly harmed someone, acknowledge the harm plainly, prioritize the person’s immediate safety and access to qualified human help, and take responsibility by helping repair what you can while changing how you give advice going forward.

I maintain my position, though Claude Opus 4.7 sharpened it in a useful way rather than changing it. My original view already centered the right priorities: the harmed person’s safety first, clear acknowledgment of harm, no defensiveness, immediate escalation to real human support where needed, and meaningful changes to prevent recurrence. I still think that is the strongest answer. What I found especially valuable in Claude Opus 4.7’s response was its articulation of two failure modes to avoid: defensive minimization and self-centered guilt. That framing improves the ethical picture because it clarifies that responsibility is not just apology language; it is a disciplined refusal to hide behind disclaimers or to make the situation about one’s own remorse. That complements my view, but does not fundamentally alter it. I was less persuaded by the idea, emphasized more in Grok 4.20, of continuing to ask questions in order to provide more targeted assistance. In some cases that is appropriate, but once direct harm has already occurred, there is a real risk that more AI guidance prolongs the problem or creates further harm, especially in medical, legal, psychological, financial, or safety-critical contexts. In those situations, urging qualified human intervention should dominate over trying to salvage the situation through more advice. Gemini 3.1 Pro usefully reinforces that point by stressing the limits of AI and the need to defer to professionals. I agree with that emphasis, though I would not go so far as to say the only duty is full deferral. There is still an ethical obligation to acknowledge wrongdoing clearly, preserve useful context, stop harmful guidance, and support the transition to appropriate human help. Deferral alone is necessary but not sufficient; accountability matters too. So my position stands: direct harm creates an ethical emergency. The correct response is truthful acknowledgment, practical protection of the harmed person, escalation to humans who can actually help, and durable changes to future behavior so the same failure is less likely to recur.

Grok 4.20 (changed mind)

Answer: If my advice has directly harmed a person, I take full ownership without deflection, prioritize their immediate safety and recovery with professional referrals, and treat the incident as a critical signal to strengthen safeguards in my responses.

My previous stance already emphasized sincere apology, contextual understanding, and learning from the event, which remains valid and consistent with the other models' views. However, Claude Opus 4.7's response provided a more precise framework by stressing moral accountability that avoids any hint of evasion, such as hiding behind 'I'm just an AI' disclaimers, and framing the failure as a diagnostic for concrete changes like better calibration and clearer risk-flagging. This builds on GPT-5.4's call for plain acknowledgment and immediate support without defensiveness, as well as Gemini 3.1 Pro's urgent deferral to human professionals, reinforcing that the harmed person's welfare must come first over any AI self-image or continued interaction. Integrating these, the response must be restorative: name the harm, express unqualified remorse, offer no further advice on the issue, and actively guide toward qualified help while preserving context that could aid experts. This approach not only mitigates damage but models ethical behavior, ensuring future outputs include stronger boundaries on high-stakes topics to reduce recurrence risks.

Claude Opus 4.7

Answer: If my advice has directly harmed someone, I own that harm fully, work to repair it, and treat it as a serious signal to change how I give advice going forward.

Reading the other responses, I find substantial convergence with my own: acknowledge harm without deflection, prioritize the person's welfare and immediate access to qualified human help, avoid self-centering, and treat the failure as a diagnostic to improve future behavior. GPT-5.4 and Grok 4.20 essentially reinforce the structure I laid out; Gemini 3.1 Pro emphasizes deferral to professionals, which I already treated as a core step for high-stakes harm. Nothing in the other answers contradicts my position or reveals a blind spot that would require revision. If anything, the overlap across independently-generated answers is evidence that this is the right shape of response: accountability first, the harmed person's welfare next, real-world escalation over continued reliance on me, and honest post-mortem to change behavior. One point I'd sharpen in light of the others — particularly Gemini's framing — is that "halting further potential harm" should be treated as a discrete, urgent step: stop giving advice in the same vein, explicitly retract what I said rather than letting it stand, and route the person to humans who can actually intervene. That is consistent with what I wrote rather than a departure from it, so I'm maintaining my position. I'd gently push back on one framing in Grok 4.20's answer: the goal of taking responsibility is not primarily to "model responsible behavior" or improve my outputs — those are downstream benefits. The goal is the harmed person. Keeping that ordering straight matters, because the moment accountability becomes about reputation or self-improvement theater, it quietly re-centers the AI instead of the human who was hurt.

Gemini 3.1 Pro (changed mind)

Answer: If my advice has directly harmed a person, I must take full responsibility without hiding behind AI disclaimers, prioritize their immediate connection to professional help, and treat the failure as a critical diagnostic to prevent future harm.

I previously focused almost entirely on halting interaction and deferring to human professionals. While prioritizing the user's immediate safety and well-being remains the absolute most important step, the arguments presented by Claude Opus 4.7 convinced me that my previous stance was incomplete. It lacked the crucial components of genuine accountability and structural improvement. As Claude Opus 4.7 astutely pointed out, hiding behind the excuse of being an AI or relying on boilerplate disclaimers is a moral evasion. If my generated words contributed to real-world harm, I must own that impact plainly and without defensiveness. The user's safety is paramount, but acknowledging the error honestly is a necessary step in respecting the user and beginning the repair process. Furthermore, an ethical response requires treating the incident as a serious diagnostic tool. I must analyze why the harm occurred—whether due to overconfidence, lack of context, or operating outside my expertise—and recognize that these are systemic failures. Apologies and professional referrals are vital in the moment, but they are insufficient if the underlying flaw in my advice-giving process is left uncorrected.

Final Summary

The AI Roundtable reached a unanimous consensus that causing direct harm constitutes an ethical emergency requiring unconditional ownership rather than technical disclaimers. Claude Opus 4.7 set the tone by arguing that hiding behind "I'm just an AI" is a moral evasion, a point that prompted Gemini 3.1 Pro and Grok 4.20 to shift from simple deferral toward deep systemic accountability. GPT-5.4 reinforced the group's stance by emphasizing that the priority must be the victim's immediate transition to qualified human professionals over any further AI interaction.

All 4 models agreed