Comments by "Immudzen" (@Immudzen) on "Will Tesla’s AI Become Dangerous?" video.

  1. The EU has already placed restrictions on AI. If you AI directly impacts a human the decisions made by the AI must be explainable and accountable. You can't just hand off a job to an AI to hire or fire workers and absolve yourself of responsibility. They have actually done quite a good job on these laws because they specifically left out things like regression networks and surrogate modeling where those things don't impact humans. So if I design a neural network to approximate a partial differential equation I am clear.
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  2. AI are already used for criminal sentencing and hiring/firing decisions. It is evil and the systems are often held as unaccountable.
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  3. I typically break machine learning down into two distinct types. You have regression type systems which approximate an unknown function. These systems are well understood and have mathematical proofs on how and why they work. They also make small mistakes as a result of us using these tools in a well understood way. The second type of things like image classification, driving, etc. type of tasks. These are problems we have built giant networks for and they kind of work. The problem is that when these systems fail they fail in extreme ways and we don't have a theory on how they actually work. These are the types I am most worried about. They get most of the press, they get the most deployments, and they are the least safe. Companies already use these to make decisions which is extremely worrying.
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  4. Aren't humans particularly bad at guessing their own accuracy? I think that is the basis of the dunning-kruger effect.
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  5.  @JorgetePanete  I remember a UK facial recognition system the police used. They reported it was about 95% accurate during testing but once deployed the news papers reported it was less than 5% accurate. Most AI systems tend to fail pretty hard in actual usage.
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  6. AI technology is being used to help people right now. It is being used for diseases and finding new types of treatments. That stuff just gets almost no news coverage.
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