
Azeem Azhar's Exponential View Are we in charge of our AI tools or are they in charge of us?
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Feb 25, 2026 Nita Farahany, law and philosophy professor specializing in cognitive liberty and mental privacy. Eric Topol, medical researcher and digital medicine pioneer. They debate whether AI controls our decisions, how AI changes medical practice and skills, the risks of de-skilling, and what we lose when creative work is ceded to tools.
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Medical AI Performance Remains Unclear
- Medical AI performance vs doctors is unclear because studies show mixed outcomes and hybrid use creates fuzzy results.
- Eric Topol says some studies show AI outperforms doctors, but reasons (automation bias, poor grounding) remain uncertain.
Doctors Misuse AI In Both Directions
- Doctors' interactions with AI vary: some override correct AI and accept incorrect AI, creating noise.
- Eric Topol notes lower-performing doctors tend to accept AI suggestions while experts sometimes reject good AI input.
U Shaped Skill Curve With AI Assistance
- Human-AI teaming shows a U-shaped effect: below-average users improve, mid-level may worsen, top experts gain most.
- Azeem Azhar and examples like Andrej Karpathy illustrate experts handing tasks to AI and pushing limits further.


