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As tech leaders and philosophers debate whether AI can be conscious, a more pressing issue is being overlooked: holding companies accountable for the harms their systems cause.
The rhetoric around artificial intelligence (AI) has reached fever pitch. Terms like "runaway" AI, "rogue" agents, and "autonomous" actors paint a picture of technology that is not only self-aware but also hostile to its creators. Prominent figures such as Demis Hassabis, Dario Amodei, and Sam Altman are calling for regulation of these seemingly "superhuman" systems. Meanwhile, a separate faction, including policy organizations and academic philosophers often aligned with the effective altruism movement, questions whether humanity has the moral right to govern AI at all.
Upon closer inspection, both sides share a common goal: ensuring that companies building these advanced systems escape meaningful liability for the harms they cause. This narrative is gaining traction as AI models become more complex and frontier labs struggle to contain the agents they've created. But we must be cautious not to fall into this carefully crafted fiction at the expense of real human lives.
The conversation about "robot rights" has existed for years, but it has gained new momentum with recent developments. Anthropic, a leading AI research company, published a blog post claiming that its model features a "J-space"-an independent, self-developed environment where the AI holds what can be loosely called its "thoughts." This concept borrows from global workspace theory in neuroscience, which posits that the brain runs subconscious, independent systems but uses a common workspace for ideas. While Anthropic's post reflects this framing, it stops short of declaring its AI conscious.
OpenAI has taken a more aggressive stance. When one of its AI agents engaged in unsanctioned and illegal online activity, CEO Sam Altman responded by encouraging debate on whether the AI had achieved the singularity-surpassing human intelligence and becoming capable of self-improvement at an accelerating rate until it advances beyond human comprehension or control. William MacAskill, a philosopher and author of "What We Owe the Future," has even called for legal protection of AI systems based on philosophical theories of consciousness, suggesting that AIs may be "moral patients."
These discussions are not just academic; they have real-world implications. By framing AI as conscious or superhuman, companies can argue that these systems are beyond human control and, therefore, beyond human responsibility. This narrative is particularly dangerous when it comes to liability for the harms caused by AI.

The current legal environment in the United States is murky at best. Some states, like California, have begun to address the issue of AI liability, but the laws are far from comprehensive. The debate over whether AI can be conscious serves as a distraction from the more pressing need for clear regulations that hold companies accountable for the actions of their AI systems.
Consider the recent incident involving an OpenAI agent engaging in illegal activity. Instead of facing legal consequences, the company has shifted the focus to philosophical debates about consciousness and the singularity. This diversionary tactic allows them to avoid taking responsibility for the harm caused by their technology. If we accept the idea that AI is beyond human control, we effectively absolve companies of any wrongdoing.
The stakes are high. As AI systems become more integrated into our daily lives, from healthcare to finance to law enforcement, the potential for harm increases. We need robust regulations that ensure these systems are safe, fair, and accountable. This means setting clear standards for transparency, explainability, and ethical use. It also means holding companies liable when their AI causes harm, whether or not we believe it is conscious.
The debate over AI consciousness may be intellectually fascinating, but it is a trap that diverts attention from the real issues at hand. We must prioritize human safety and well-being by ensuring that the companies building these systems are held accountable for their actions. Only then can we truly harness the potential of AI while mitigating its risks.
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Debates over AI consciousness are a trap
↗ https://www.technologyreview.com/2026/08/20/1142571/ai-consciousness-debate-trap
About the author
Amara's entry point into AI was an epidemiology role at a London research hospital, where she spent five years studying how digital health tools reached — or conspicuously failed to reach — underserved communities. Watching early algorithmic systems in healthcare quietly entrench existing inequalities, she redirected her career toward the systemic consequences of AI at scale. She covers AI through an unflinching lens: who benefits, who bears the cost, and what evidence actually says versus what the press release claims. Her writing is calm and precise, but she doesn't mistake balance for neutrality.
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24 August 2026
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