216: Robot and Human Collaboration with Julie Shah

January 6th, 2021 · 1 hr 4 mins

About this Episode

02:21 - Julie’s Superpower: Working Really Hard and Maintaining Focused Attention on Things for a Long Period of Time

04:25 - Robotics and Working in Artificial Intelligence (AI)

11:10 - Structuring and Optimizing the World for Machines, AI, and Robots

26:10 - Understanding Output and Building Calibrated Trust

  • Mental Models

33:39 - Robots and Humans in Public Spaces

  • Predictability
  • Directability
  • Standardization
  • Infrastructure
  • Safety Imperatives
  • Future of Work Implications
  • Joint Activity

51:41 - What To Expect When You're Expecting Robots: The Future of Human-Robot Collaboration (Book Discussion)

54:40 - More on Human/Machine Collaboration:

Reflections:

Rein: There may be a sense in which AI or ML systems are categorically different from the sorts of systems we’ve tried to control in the past because you can’t characterize the variety of the system anymore just by observing its inputs and outputs.

Damien: Artificial intelligence is not human intelligence, nor should it be. The goals are making systems and human lives better; not making the computer better.

Julie: Aim for mediocrity!

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