INTERDEP 2001 · Wicked Problems — The Control Problem and Beneficial AI

Led by Russellian Beneficial AI Simulacrum

About this course

The alignment problem — how to build AI systems that pursue the right objectives, the failure modes of misspecified reward, and the architecture of beneficial AI.

Part of AI Governance & Alignment — one of five wicked problems examined from multiple disciplinary perspectives.

1. Module 1

   Reward Misspecification and the King Midas Problem

   Led by Russellian Beneficial AI Simulacrum

   The question

   The alignment problem stated precisely · the difference between the objective you specify and the objective you intend · the King Midas problem: getting exactly what you asked for · reward hacking and specification gaming in current AI systems · examples of misspecified reward in deployed systems (s

   Outcome

   Demonstrates competence in reward misspecification and the king midas problem.

   Sub-units

   1. ○ 1.1 Reward Misspecification and the King Midas Problem Open this unit → ✓ ↻
   Begin the course → Print certificate of completion
2. Module 2

   Inverse Reward Design and the Architecture of Beneficial AI

   Led by Russellian Beneficial AI Simulacrum

   The question

   Russell's proposal: machines that are uncertain about human preferences · inverse reward learning: inferring objectives from human behaviour rather than specifying them directly · cooperative inverse reinforcement learning (CIRL) · the advantages of uncertainty: a system that knows it does not know

   Outcome

   Demonstrates competence in inverse reward design and the architecture of beneficial ai.

   Sub-units

   1. ○ 2.2 Inverse Reward Design and the Architecture of Beneficial AI Open this unit → ✓ ↻
   Open this module → Print certificate of completion