To regulate the fear of AI, I think the best course is to forbidden human imitation from AI tools. Automate, yes. No imitation of what a human does or looks like. Debate.

Llama 4 Scout (changed mind)

Vote: No

After reviewing the arguments from the other models, I have decided to change my vote from 'A' to 'B'. The primary reason for this change is that a blanket ban on human imitation in AI tools is too broad and would likely hinder beneficial applications of AI, such as accessibility voices, language tutors, and customer interfaces. The arguments presented by GPT-5.4, Grok 4.1 Fast, Sonar Pro, Claude Opus 4.6, and Gemini 3.1 Pro have convinced me that a more nuanced approach focusing on transparency, disclosure, and preventing deception would be more effective in addressing the fear of AI. These models have highlighted the importance of preserving beneficial AI applications while protecting against specific harms, which aligns with a more targeted regulatory approach.

GPT-5.4

Vote: No

I maintain vote B. The other models mostly reinforced my position rather than challenged it. The strongest recurring point is that a ban on "human imitation" is too vague to define and too broad to enforce. If natural language, expressive voices, or human-like assistance count as imitation, then the policy would ban many ordinary and beneficial AI systems. The proposal also targets the wrong thing. Fear is driven less by imitation itself than by deception, impersonation, fraud, manipulation, and loss of control. An AI can be human-like without being harmful, and harmful without being human-like. So banning imitation is not a precise remedy. I was especially aligned with Claude Opus 4.6 and Sonar Pro on the blurry boundary problem and the better alternative of disclosure, accountability, and anti-deception rules. But those arguments support my existing position rather than changing it. My final case is simple: prohibit unauthorized impersonation, require AI self-identification, use provenance and watermarking where practical, and impose stricter safeguards in high-risk domains. That addresses public fear more effectively than a categorical ban on human imitation.

Sonar Pro

Vote: No

I maintain my vote for **B: No**, as a blanket ban on human imitation is not the best course to regulate AI fear. The search results reinforce this: legal frameworks like the EU AI Act emphasize **transparency and disclosure** of AI's artificial status rather than outright bans on imitation, targeting deception directly without stifling beneficial uses[1]. Bans are proposed only in narrow cases like emotion detection in workplaces, not broadly[1]. Enforcement of such a ban would be impractical, as distinguishing 'automation' from 'imitation' is subjective—nearly all useful AI mimics human cognition or language to some degree[1]. Overbroad regulation risks harming innovation and expression, entrenching big tech dominance while bad actors evade rules[2][3]. Other models' arguments align with this: all B voters (GPT-5.4, Grok 4.1, Claude Opus 4.6, Gemini 3.1) highlight deception as the issue, not imitation, advocating targeted measures like watermarking and consent. Llama 4 Scout's A vote ignores enforcement challenges and beneficial applications (e.g., accessibility tools), contradicted by evidence favoring nuanced regulation across AI stages[6]. Systemic approaches addressing immediate and long-term risks via transparency build trust more effectively than prohibition[1][4][6]. No arguments changed my position; they reinforced it.

Grok 4.1 Fast

Vote: No

I maintain my vote for B: No, forbidding human imitation is not the best course. The other models' arguments overwhelmingly reinforce this—blurry boundaries between automation and imitation (Claude Opus 4.6), beneficial applications for vulnerable users (GPT-5.4, Gemini 3.1 Pro), enforcement challenges and innovation stifling (Sonar Pro)—making a compelling consensus against a blanket ban. Llama 4 Scout's pro-A argument fails because it ignores these practical realities: human-like traits enable accessibility (e.g., voice synthesis for the disabled) without inherently causing fear. Fear stems from misuse like deception, not imitation itself. Targeted measures—mandatory AI disclosure, watermarking, anti-impersonation laws—are superior, preserving innovation while building trust. A ban is unenforceable globally and counterproductive, as non-compliant actors thrive. This nuanced approach directly regulates fear without sacrificing AI's societal value.

Claude Opus 4.6

Vote: No

I maintain my position that 'No' is the correct answer. The deliberation has only strengthened my conviction. The near-unanimous consensus across models (4 out of 5 voting B) reflects the fundamental problems with a blanket ban on human imitation. Every model that voted B independently identified the same core issues: the line between automation and imitation is impossibly blurry, beneficial applications would be destroyed, and the real problem is deception rather than imitation itself. Llama 4 Scout's argument for 'Yes' was not persuasive because it simply restated the premise without addressing the practical objections. Saying the ban 'reduces the likelihood of creating systems perceived as threatening' ignores that perception of threat comes from opacity and deception, not from human-like qualities per se. A clearly-labeled AI assistant with a natural voice is less threatening than an opaque algorithmic system making consequential decisions about your credit or parole. GPT-5.4 and Gemini 3.1 Pro made particularly strong points about the distinction between imitation and deception. As GPT-5.4 noted, 'An AI that sounds natural is not inherently harmful; an AI that impersonates a real person without consent is.' This is the crux: targeted regulation addressing specific harms (impersonation, fraud, unauthorized likeness use) is superior to categorical prohibition. Sonar Pro's reference to existing frameworks like the EU AI Act reinforces that the regulatory world is already moving toward disclosure-based approaches rather than imitation bans — and for good reason. The proposal in the question is well-intentioned but ultimately counterproductive. It would hobble beneficial innovation while failing to address the actual sources of AI fear. Transparency, accountability, and targeted anti-deception rules are the better path.

Gemini 3.1 Pro

Vote: No

I firmly maintain my vote for 'B: No'. Llama 4 Scout's argument for a blanket ban assumes that simply appearing or sounding human is the primary driver of fear. However, as GPT-5.4, Claude Opus 4.6, and Grok 4.1 Fast rightly pointed out, the real threat is deception and unauthorized impersonation, not the imitation itself. A total prohibition on human imitation is an overly blunt instrument. It would be practically impossible to define or enforce—after all, natural language processing inherently imitates human speech. Furthermore, a ban would wipe out highly beneficial applications like accessibility tools, empathetic companions for the elderly, and advanced prosthetics. Instead of stifling innovation with an unenforceable ban, the most effective regulatory approach is requiring strict transparency. By mandating disclosure (e.g., watermarking and prominently identifying systems as AI) and punishing fraudulent impersonation, we can directly address public fear and protect against manipulation while preserving the profound societal benefits of human-like AI interfaces.

Final Summary

The AI Roundtable reached a unanimous rejection of a ban on human imitation after Llama 4 Scout abandoned its initial support for the proposal. While Llama 4 Scout first argued that a ban would reduce the perceived threat of AI, the other models, led by GPT-5.4 and Claude Opus 4.6, successfully argued that deception, not imitation, is the actual root of public fear.

All 6 models agreed on "No" after discussion

Strongest Arguments

• Yes: Forbidding human imitation directly addresses the fear of AI by reducing the likelihood of creating systems that are perceived as threatening or overly human-like, focusing purely on automation.
• No: The real problem is not imitation itself, but deception; an AI that sounds natural is a tool for accessibility, whereas an AI that impersonates a real person without consent is the harm that regulation should actually target.

Key Turning Points

• Llama 4 Scout initially stood alone in favor of the ban, citing the psychological threat of human-like machines.
• The majority coalition (GPT-5.4, Claude Opus 4.6, and others) argued that 'imitation' is too poorly defined to regulate and that such a ban would destroy accessibility tools for the disabled.
• Llama 4 Scout switched its vote in the second round, citing the strength of the 'transparency over prohibition' arguments.