TL;DR: We wrote a post on possible success stories of a transition to TAI to better understand which factors causally reduce the risk of AI risk. Furthermore, we separately explain these catalysts for success in more detail and this post can thus be thought of as a high-level overview of different AI governance strategies.
Summary
Thinking through scenarios where TAI goes well informs our goals regarding AI safety and leads to concrete action plans. Thus, in this post,
- We sketch stories where the development and deployment of transformative AI go well. We broadly cluster them like
- Alignment won’t be a problem, …
- Because alignment is easy: Scenario 1
- We get lucky with the first AI: Scenario 4
- Alignment
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