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    Avoiding Negative Side Effects: Concrete Problems in AI Safety part 1

    Robert Miles AI Safety

    2 HN recommenders · recommended in 3 months, 2018–2023

    YouTube

    9:33 · 161K views · Jun 18, 2017

    Robert Miles introduces the first of several videos on the paper 'Concrete Problems in AI Safety', focusing on how AI systems can cause accidental negative side effects. It explains the problem in accessible terms.

    HN recommends Robert Miles' channel as a clear starting point for people curious about AI safety.

    AI, Machine Learning & DataAI safety, AGI & impact
    1. 16:29
      10 Reasons to Ignore AI SafetyRobert Miles AI Safety 363K views • 6 years ago
    2. 18:05
      Intro to AI Safety, RemasteredRobert Miles AI Safety 210K views • 5 years ago
    3. 10:36
      Why Would AI Want to do Bad Things? Instrumental ConvergenceRobert Miles AI Safety 274K views • 8 years ago
    4. 15:27
      Why Not Just: Think of AGI Like a Corporation?Robert Miles AI Safety 163K views • 7 years ago
    5. 11:47
      We Were Right! Real Inner MisalignmentRobert Miles AI Safety 271K views • 5 years ago
    6. 13:03
      Intelligence and Stupidity: The Orthogonality ThesisRobert Miles AI Safety 710K views • 8 years ago
    7. 1:07:31
      The A.I. Dilemma - March 9, 2023Center for Humane Technology3.7M views • 3 years ago
    8. 8:30
      Deadly Truth of General AI? - ComputerphileComputerphile941K views • 11 years ago
    9. 17:52
      Training AI Without Writing A Reward Function, with Reward ModellingRobert Miles AI Safety 259K views • 6 years ago
    10. 36:02
      ChatGPT with Rob Miles - ComputerphileComputerphile517K views • 3 years ago
    11. 8:16
      Why Asimov's Laws of Robotics Don't Work - ComputerphileComputerphile873K views • 11 years ago
    12. 15:49
      I tried using AI. It scared me.Tom Scott8.5M views • 3 years ago
    13. 1:57:02
      How We Prevent the AI’s from Killing us with Paul ChristianoBankless63K views • 3 years ago
    14. 13:44
      Is AI Safety a Pascal's Mugging?Robert Miles AI Safety 388K views • 7 years ago
    15. 42:30
      Full interview: "Godfather of artificial intelligence" talks impact and potential of AICBS Mornings2M views • 3 years ago
    16. 15:01
      What Happened to Horses Is Happening to UsCGP Grey20M views • 12 years ago
    17. 48:32
      Sparks of AGI: early experiments with GPT-4Sebastien Bubeck1.8M views • 3 years ago
    18. 1:47:20
      Munk Debate on Artificial Intelligence | Bengio & Tegmark vs. Mitchell & LeCunPolicy-Relevant Science & Technology118K views • 3 years ago
    19. 20:00
      AI "Stop Button" Problem - ComputerphileComputerphile1.4M views • 9 years ago
    20. 47:15
      Will AI outsmart human intelligence? - with 'Godfather of AI' Geoffrey HintonThe Royal Institution884K views • 1 year ago

    3 comments from Hacker News

    1. @jononorJan 2023· in “Not worried about AI that passes Turing test, but AI that fails it on purpose”

      For those curious about AI safety I heavily recommend Robert Miles channel on YouTube. He has lot of good content describing out the challenges we face when trying to create safe AI. Here is one potential starting point: this video

      Strongly recommendsView on HN
    2. @nmcaMay 2018· in “Uber Self-Driving Car That Struck Pedestrian Wasn’t Set to Stop in an Emergency”

      This highlights an interesting general point - in many situations, there is no simple safe fallback policy. On a highway, an emergency stop is not safe. This is a general problem in AI safety and is covered nicely in this youtube video, as well as the paper referenced there - this video

      RecommendsView on HN
    3. @pasNov 2018· in “Superintelligence: The Idea That Eats Smart People (2016)”

      Re: alignment, see the "Where are we" part of this talk: [LINK] See also the AI safety problems for concrete problems that people are currently working on - as in with code and real simulations, not "just" math and thinking: this video Re: scaling up. That's called intelligence explosion, there are a lot of write ups about it, but the gist of it is just that by simply increasing working memory size, thinking speed, prediction precision, pattern matching, and so on, you get to unimaginably high levels. Furthermore, if you can make a human level AI, it naturally follows that it's only a matter of time to make it slightly better. At first simply faster, simply more eloquent, a bit more emotional depth, it gets better at speaking, thinking. At first it's a child that asks questions, later it's a clever guy who spots your errors as you code, and in no time, I mean no time, it does whatever it wants, because by the time you try to confront it about something, you lost, because you are bogged down in an argument, while it does whatever it wants. (Unless of course it's contained. For a while at least.)

      CitesView on HN