NEWSAR
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SRCSouth China Morning Post
LANGEN
LEANCenter-Right
WORDS183
ENT5
THU · 2026-07-23 · 12:30 GMTBRIEF NSR-2026-0723-95367
News/The dangerous illusion that AI understands, thinks and cares
NSR-2026-0723-95367Opinion·EN·Technology

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.

Hannah Yee-Fen LimSouth China Morning PostFiled 2026-07-23 · 12:30 GMTLean · Center-RightRead · 1 min
The dangerous illusion that AI understands, thinks and cares
South China Morning PostFIG 01
Reading time
1min
Word count
183words
Sources cited
0cited
Entities identified
5entities
Quality score
100%
§ 01

Briefing Summary

AI-generated
NEWSAR · AI

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. 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.

Confidence 0.90Claims 5Entities 5
§ 02

Article analysis

Model · rule-based
Framing
Technology
Human Interest
Tone
Mixed Tone
AI-assessed
CalmNeutralAlarmist
Factuality
0.30 / 1.00
Opinion-Heavy
LowHigh
Sources cited
0
No named sources
FewMany
§ 03

Key claims

5 extracted
01

The 'hallucinations' of generative AI systems are errors and inaccuracies.

factualHannah Yee-Fen Lim
Confidence
0.90
02

Attributing human qualities to AI systems risks clouding users' perceptions of the technology's true nature and limitations.

factualHannah Yee-Fen Lim
Confidence
0.90
03

Anthropomorphising artificial intelligence is both an ethical and a practical problem.

factualHannah Yee-Fen Lim
Confidence
0.90
04

AI systems fail spectacularly because they are only machines.

factualHannah Yee-Fen Lim
Confidence
0.80
05

Referring to an AI system as 'the AI' elevates it to a form of intelligence on par with, or surpassing, human intelligence.

factualHannah Yee-Fen Lim
Confidence
0.80
§ 04

Full report

1 min read · 183 words
Hannah Yee-Fen Lim is an associate professor of business law at Nanyang Technological University, where she is AI governance lead and faculty affiliate at the Global Institute of Finance, Technology and Society.Anthropomorphising Artificial Intelligence – that is, treating AI systems as though they possess human emotions, intentions, consciousness or moral judgment – is both an ethical and a practical problem. While attributing human qualities to AI systems may make interactions more approachable, it also risks clouding users’ perceptions of the technology’s true nature and limitations.Call a spade a spade. The so-called hallucinations that generative AI systems produce are nothing more than errors and inaccuracies. Until recently, AI has been used as an adjective, as in AI systems. But it is now common parlance to refer to an AI system as a noun, such as: the AI.The vocabulary choice has elevated AI systems to some form of intelligence on a par with, or even surpassing, human intelligence. It is true that in some cases, their processing powers and prowess surpass those of humans – but they also fail spectacularly because they are only machines.
§ 05

Entities

5 identified
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Keywords & salience

9 terms
artificial intelligence
1.00
anthropomorphising ai
0.90
ai hallucinations
0.80
human intelligence
0.70
ai limitations
0.70
generative ai
0.60
ai governance
0.50
machine errors
0.40
technology perception
0.40
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