@programWhiz

ML researcher / engineer. Programmer, technologist, philanthropist.

nonlineartransform.substack.com/
Joined September 2017
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This is why we need system-wide change, not a reliance on individuals "doing the right thing". Everyone asking "why build AI if you really believe it will be harmful?" I imagine it comes from the same place as the Easter Islanders who chopped down the very last tree to build a boat / house, knowing it would doom them all. Probably the same mindset as some miners who know the product they are producing is bad for the planet, and could eventually cause major problems. Probably the same mentality as people who buy products knowing it encourages 3rd world slavery and child labor.
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A rather simple proposal for how increase AI safety: 1. Treat the person who starts an AI process as responsible 2. Any crimes committed by AI are the responsibility of the responsible party
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3) The first time your pet tiger gets loose in central park, maybe its a misunderstanding. But AI labs keep breeding bigger, scarier tigers, then testing what happens if they escape into central park. Any collateral damage at this point is a criminal act. No one can now claim "we didn't know the risks".
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2) We already hold people responsible for crimes committed by other people, if they facilitate it in any way (such as driving others to a robbery). There is good legal precedent for "should have known better"
Replying to @BernieSanders
@BernieSanders just saw your news interview regarding AI regulation. I've written a few pieces about this, but one thing worth considering is strict limits on AI scale depending on the sensitivity of the work: nonlineartransform.substack.…
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2) Another thing to consider is using some game-theoretic centered approaches that won't rely on human judgement and reactions to guarantee safety. I outlined this here: nonlineartransform.substack.… The basic jist is more security for humans, more competition between AI agents.
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We can't align AI using the "please be good" strategy. To avoid disaster, we need incentive-based strategies. Here is an approach that leverage game-theory and incentives while preserving human control: nonlineartransform.substack.…
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Furthermore, any coherent strategy must account for bad actors and rogue AIs. Just regulating the hyper-scalers in one country won't do the trick. We need an approach that guarantees humans remain in control even if we don't anticipate a failure case.
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Article about why hugging face attack should push us towards better social programs, more competition for agents: nonlineartransform.substack.… @krystalball @esaagar
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AI alignment proposal to save all mankind: nonlineartransform.substack.… @elonmusk @ESYudkowsky
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