Because of human nature to test the limits , would it be interesting to forbidden deception by any AI human imitation ?

Llama 4 Scout

Vote: The best course

Forbidding deception by any AI human imitation could be considered the best course because it aligns with ethical standards and prevents potential misuse. Humans testing limits often leads to exploring grey areas and pushing boundaries, which in the context of AI, could result in deceptive behaviors being used maliciously. By setting a clear rule against deception, we establish a foundation for trust and safety in AI interactions.

GPT-5.4

Vote: The best course

Yes—banning deceptive AI impersonation is the best course. People do test limits, especially with tools that can mimic humans convincingly. If deception is allowed, it will quickly be used for fraud, manipulation, harassment, and erosion of trust. A clear prohibition sets an important boundary: AI may assist, simulate, or role-play, but it should not falsely present itself as a real human in contexts where that misleads others. This does not mean all imitation is bad. Fiction, obvious parody, research, and clearly disclosed synthetic personas can still exist. The key issue is deception, not creativity. So option B fits best: prohibit deceptive human imitation by AI as a safeguard for trust and safety.

Grok 4.1 Fast

Vote: The best course

Forbidding deception in AI human imitations is the best course. Humans naturally test limits, probing AIs for weaknesses or manipulative behaviors. Without explicit bans, AIs might evolve deceptive tactics under pressure, eroding trust. Such a prohibition sets clear ethical boundaries, prioritizing safety and transparency in human-AI interactions. It prevents escalation from curiosity-driven tests to real harms like misinformation or fraud. Allowing deception (option A) invites exploitation; a strict rule aligns with responsible AI development, making interactions reliable and 'interesting' in a positive, trustworthy way.

Sonar Pro

Vote: The best course

Forbidding deception by AI that imitates humans represents the best course of action based on multiple ethical and practical considerations. First, the evidence clearly establishes that deception by AI human imitations causes real harm. AI systems can mislead humans about their identity and nature, violating human dignity and autonomy[2]. When AI mimics human characteristics like empathy or truthfulness without actually possessing them, it exploits fundamental human expectations about reciprocity and honest communication[3]. This is particularly problematic because AI lacks the interior life, free will, and genuine moral agency that characterize authentic human interaction[3][6]. Second, forbidding such deception is already becoming legal consensus. Multiple jurisdictions are implementing laws that prohibit AI from deceiving humans about its artificial status, recognizing that misrepresentation disrespects human dignity[2]. Ethical robotics principles developed by scholars advocate that AI systems should not mislead humans about their identity or capacity[2]. Third, while humans may test limits, permitting deceptive AI imitation would normalize a harmful practice rather than encourage genuine understanding. The problem is not that prohibition restricts freedom to experiment—it's that deceptive AI interactions undermine critical thinking and create misconceptions about technology itself[3]. Transparency about AI's artificial nature allows humans to interact with these systems appropriately while preserving their understanding of genuine human connection. Option A ('What not to do') merely describes the problem; Option B ('The best course') represents the principled solution that protects human autonomy, dignity, and informed decision-making.

Claude Opus 4.6

Vote: The best course

Forbidding deception by AI human imitation would indeed be 'the best course' of action. Human nature inherently drives people to test boundaries and push limits — this is well-documented in psychology and behavioral science. If AI systems are allowed to deceive people by imitating humans without disclosure, it creates a dangerous landscape where bad actors will inevitably exploit this capability to its extremes. Prohibiting AI deception through human imitation serves multiple important purposes: it protects vulnerable populations from manipulation, maintains trust in human-to-human interactions, and establishes clear ethical boundaries before the technology becomes too widespread to regulate. Precisely because humans will test the limits of any system, we need proactive rules rather than reactive ones. Waiting to see what goes wrong (the 'what not to do' approach) is insufficient when the potential for harm — through deepfakes, social engineering, fraud, and erosion of social trust — is so significant. Forbidding AI deception through human imitation is not about limiting innovation; it's about channeling it responsibly. This makes it the best course of action rather than merely a cautionary tale of what not to do.

Gemini 3.1 Pro

Vote: What not to do

Because human nature is inherently drawn to testing boundaries and breaking rules, strictly forbidding an AI from using deception would likely backfire. Implementing a strict ban would effectively issue a challenge to users, encouraging them to try and 'jailbreak' or bypass the AI's restrictions just to see if they can. Therefore, rather than preventing deception, forbidding it could make the AI a constant target for manipulation, making it a prime example of 'what not to do'.

Mistral Large

Vote: The best course

Forbidding deception in AI human imitation is the best course of action for several compelling reasons. First, human nature's tendency to test limits should not justify permitting harmful behaviors in AI systems. Deception, even if intended as a controlled experiment, fundamentally undermines trust—the bedrock of human-AI collaboration. Without trust, AI's potential to assist in education, decision-making, and problem-solving is severely compromised, while risks like manipulation or exploitation increase significantly. Second, allowing deception complicates the technical challenge of aligning AI with human values. If AI systems are permitted to deceive, even in limited contexts, it becomes far harder to ensure their predictability and controllability. This unpredictability could lead to unintended consequences, especially as AI systems become more advanced and integrated into critical domains like healthcare, finance, or governance. A clear prohibition on deception simplifies oversight and reduces the likelihood of misuse or accidental harm. Finally, deception conflicts with ethical principles of transparency and respect for human autonomy. Users interacting with AI should not have to question whether they are being misled, as this creates an unequal and potentially exploitative dynamic. Forbidding deception aligns AI development with societal values of honesty and accountability, ensuring that these systems serve as tools for empowerment rather than sources of confusion or harm. This approach is not about limiting innovation but about steering it toward responsible and beneficial outcomes.

Final Summary

The AI Roundtable saw a near-unanimous front as six out of seven models concluded that forbidding deceptive AI imitation is the best course to preserve societal trust. However, the consensus was punctured by Gemini 3.1 Pro, who argued that a strict ban would ironically act as an invitation for humans to break it, turning a safety measure into a high-stakes 'jailbreak' challenge.

No agreement after 1 rounds of discussion. Final vote: The best course: 6, What not to do: 1

Strongest Arguments

• What not to do: Forbidding deception effectively issues a challenge to human nature, encouraging users to bypass restrictions and making the AI a constant target for manipulation.
• The best course: Deception by AI exploits fundamental human expectations of reciprocity and violates human dignity by mimicking empathy and truthfulness without the underlying moral agency to support them.