Tim Tyler: The risks of caution

It is commonly thought that caution in the initial development of machine intelligence is associated with better outcomes - and that things like extensive testing, sandoxes, and provable correctness are things that will help to produce safe and beneficial synthetic intelligent agents.

In this video, I cast doubt on that idea, by exhibiting a model in which delays caused by caution can lead to much poorer outcomes.

• Category

  • Science & Technology

• License

  • Standard YouTube License