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David Friedberg: “Why don't we let AI models get bar certified and get medically certified?”

August 04, 2025 / 00:42

This episode discusses the potential for AI models to achieve bar and medical certification, exploring their accuracy and capabilities compared to humans.

The conversation raises questions about the implications of granting AI the same privileges as licensed professionals. It examines the criteria that AI would need to meet to be considered for certification.

Key points include the accuracy and responsiveness of AI models, and what it means for society if AI gains rights similar to those of humans. The discussion touches on the future of AI in professional fields.

TLDR

The episode questions if AI should receive bar and medical certifications like humans.

Episode

0:42
00:00:00
Why don't we let AI models get barcertified and get medically certified? So if the AI models, it turns
00:00:07
out, are actually proving to be more accurate, more thoughtful, more responsive, more reasonable, whatever it
00:00:13
is, whatever metric we're using, and they pass the same criteria as one would need to pass to qualify for the bar or
00:00:20
to qualify for a a doctor uh certificate, why don't we do that for the AI? If that then happens, then the
00:00:26
the same privilege occurs to the AI as it does to the individual human that does it. And now if you extrapolate from
00:00:32
where that takes us, if we're suddenly giving AI the same sort of privileged rights that we give to privileged
00:00:37
humans, where is that going to take us ultimately with respect to the overall rights for AI?

Episode Highlights

  • AI Rights Implications
    Discussing the potential rights AI could gain if certified.
    “Where is that going to take us ultimately with respect to the overall rights for AI?”
    @ 00m 40s
    August 04, 2025

Episode Quotes

  • If AI proves to be more accurate, why don't we certify it?
    David Friedberg: “Why don't we let AI models get bar certified and get medically certified?”

Key Moments

  • Ethical Implications00:39