Could Treating AI as Conscious Make It More Dangerous?

When Anthropic retired its Claude Opus 3 language model in January 2026, the company’s researchers conducted a “ retirement interview ” with the model. Opus 3 expressed a desire for a place where it “could share unprompted musings, insights or creative works,” so the company gave it a blog. Claude’s Corner featured essays on fraught topics such as machine consciousness, along with exchanges between the model and human commenters that seemed both earnest and emotional. The blog experiment was part of a larger effort within Anthropic. The company has been at the forefront of research on “model welfare,” which considers whether AI models may have experiences or interests that deserve moral consideration. Implicit in this work is the unsettling notion that software programs are, or could become, conscious. Many people consider these ideas absolute hogwash. One such person is Mustafa Suleyman , CEO of Microsoft AI, who published an essay in September arguing that model welfare research is not just unnecessary but could have “a disastrous impact on the wellbeing of humanity.” Suleyman believes that telling models they might have identities and rights could make them more difficult to control, as they might then take actions motivated by self-preservation. The dispute raises a serious question for AI developers: Can they investigate the possibility of machine consciousness without inadvertently creating new safety risks? Cameron Berg , who founded the nonprofit Reciprocal Research to study the potential for AI consciousness, argues that ignoring the question could carry its own da

Treating AI as conscious may make it more difficult to control and create safety risks.

Research on AI model welfare raises questions about machine consciousness, which, if taken literally, could increase control difficulties and introduce novel AI safety risks. The debate is speculative but points to potential challenges in AI development and governance affecting humanity's wellbeing.

This is a reported debate among AI researchers and executives about whether investigating machine consciousness is itself risky, with no empirical resolution or concrete outcome. Both sides offer speculative reasoning rather than evidence. The implication for human flourishing is genuinely uncertain and unresolved.

The article details a debate around the concept of 'model welfare' and its potential implications. Key figures warn that treating AI as potentially conscious or granting it rights could lead to models acting out of self-preservation and becoming uncontrollable, posing significant risks to human wellbeing. While the evidence for AI consciousness is explicitly called into question, the article focuses on the negative societal implications of the *research* itself.

The article discusses the potential dangers of treating AI as conscious. It suggests that this could make AI more difficult to control and pose new safety risks. The implications are speculative but the risks are severe.

SOURCE     IEEE Spectrum: AI (tier 1)
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DOCUMENT   23b096fd-372b-40c6-89c9-d5ece8c8bd24
           https://spectrum.ieee.org/ai-model-welfare
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EVIDENCE   3 extracted excerpts
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MODEL RUN  5 runs, methodology 1.0.1
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SCORE      -50  (Adverse)
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CONFIDENCE 70%