bolt AI and tech · 2 min
AI hides skill decay in doctors, researchers and developers
flash_on In 20 seconds
Doctors, researchers and software developers rely on AI in their work.
Outsourcing tasks to AI causes professional skills to deteriorate.
Biases make AI outputs seem convincing, so mistakes go unnoticed.
Standard theories tie blame to awareness; deskilling challenges that view.
Based on a report by Kaisa Kärki in Human Affairs. Kärki says AI assistants prompt doctors, researchers and developers to outsource tasks, producing deskilling. Professionals often fail to notice this because AI responses appear convincing yet sometimes contain errors.
Kärki argues responsibility is unclear under standard theories that link blame to awareness. She calls the problem societal and structural. Professional communities should pinpoint core human skills and include AI-free training stages, echoing pilot and medical training examples.
format_quotediagnostic reasoning is a skill central to medical practice
Phys.org
help What is not known yet
- Which exact core skills each profession should preserve.
- Who, legally, should be held responsible for AI-related mistakes.
- How quickly deskilling progresses in different fields.
forum Frequently asked questions
Which professions are affected?expand_more
The article names doctors, researchers and software developers as relying on AI.
Why do professionals not notice deskilling?expand_more
Biases make AI outputs seem convincing, and large language models can still produce mistakes.
Who is responsible for mistakes from deskilling?expand_more
There is no single answer; Kärki says standard responsibility theories tied to awareness are challenged and the issue is societal.
Are there suggested ways to stop deskilling?expand_more
Kärki suggests communities identify core skills and include AI-free training stages, as in pilot and medical examples.
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link Sources (1)
- Phys.org — AI use insidiously undermines professionals' skills
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