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AI Research Considerations for Human Existential Safety

Audio version of the article

 Topics discussed in this episode include:

  • The mainstream computer science view of AI existential risk
  • Distinguishing AI safety from AI existential safety
  • The need for more precise terminology in the field of AI existential safety and alignment
  • The concept of prepotent AI systems and the problem of delegation
  • Which alignment problems get solved by commercial incentives and which don’t
  • The threat of diffusion of responsibility on AI existential safety considerations not covered by commercial incentives
  • Prepotent AI risk types that lead to unsurvivability for humanity

 

Timestamps: 

0:00 Intro
2:53 Why Andrew wrote ARCHES and what it’s about
6:46 The perspective of the mainstream CS community on AI existential risk
13:03 ARCHES in relation to AI existential risk literature
16:05 The distinction between safety and existential safety
24:27 Existential risk is most likely to obtain through externalities
29:03 The relationship between existential safety and safety for current systems
33:17 Research areas that may not be solved by natural commercial incentives
51:40 What’s an AI system and an AI technology?
53:42 Prepotent AI
59:41 Misaligned prepotent AI technology
01:05:13 Human frailty
01:07:37 The importance of delegation
01:14:11 Single-single, single-multi, multi-single, and multi-multi
01:15:26 Control, instruction, and comprehension
01:20:40 The multiplicity thesis
01:22:16 Risk types from prepotent AI that lead to human unsurvivability
01:34:06 Flow-through effects
01:41:00 Multi-stakeholder objectives
01:49:08 Final words from Andrew

This article has been published from a wire agency feed without modifications to th text. Only the headline has been changed.

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