The dangerous illusion that AI understands, thinks and cares
Hannah Yee-Fen Lim, an associate professor of business law, argues that anthropomorphizing artificial intelligence, or attributing human qualities like emotions and consciousness to AI, presents both ethical and practical issues. While this can make AI interactions seem more approachable, it obscures the technology's actual nature and limitations.

Briefing Summary
AI-generatedHannah Yee-Fen Lim, an associate professor of business law, argues that anthropomorphizing artificial intelligence, or attributing human qualities like emotions and consciousness to AI, presents both ethical and practical issues. While this can make AI interactions seem more approachable, it obscures the technology's actual nature and limitations. Lim emphasizes that generative AI's "hallucinations" are simply errors and inaccuracies, not signs of thought or intent. The shift in language from "AI systems" to referring to AI as a noun, like "the AI," has contributed to an inflated perception of AI's intelligence, despite its machine-based failures.
Article analysis
Model · rule-basedKey claims
5 extractedThe 'hallucinations' of generative AI systems are errors and inaccuracies.
Attributing human qualities to AI systems risks clouding users' perceptions of the technology's true nature and limitations.
Anthropomorphising artificial intelligence is both an ethical and a practical problem.
AI systems fail spectacularly because they are only machines.
Referring to an AI system as 'the AI' elevates it to a form of intelligence on par with, or surpassing, human intelligence.