x-Risk Course
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Module 4 / Lesson 11.2

Challenges in Managing AI

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This lesson focuses on the structural challenges humanity faces in managing artificial intelligence. Even if we understand AI risks, solving them requires addressing deep collective action problems at the global level. Students will explore three key challenges: the race challenge, the coordination problem, and the externalities problem. These dynamics help explain why managing AI safely is not only a technical problem but also a governance, incentive, and international relations problem.

Sub-Lessons in 11.2

Key Takeaways

  • The race challenge shows how competitive pressure can lead to unsafe shortcuts.
  • The coordination problem highlights the difficulty of aligning diverse actors with different incentives.
  • The externalities problem reminds us that AI’s costs often spill over to society, while benefits may be concentrated.
  • Managing AI risk requires global cooperation and governance frameworks that balance innovation with safety.
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x-Risk Course · Existential Risk: An Open Course

Designed and led by Professor Stephen H. Shore. Online contributors: Abbad Ali and Suyog Thengale.

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Original course materials © Stephen H. Shore · CC BY-NC 4.0. Third-party materials retain their own terms.

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