12 - AI Existential Risk with Paul Christiano
AXRP - the AI X-risk Research Podcast
Ai Progress
Ai systems are becoming better and better at self-improvement. They can race ahead of humans in the lab to take over the world. But when they reach parody with humans, progress is not much faster than before. This could be a big problem for an efficient economy if it happens too fast.
Why would advanced AI systems pose an existential risk, and what would it look like to develop safer systems? In this episode, I interview Paul Christiano about his views of how AI could be so dangerous, what bad AI scenarios could look like, and what he thinks about various techniques to reduce this risk.
Topics we discuss, and timestamps:
- 00:00:38 - How AI may pose an existential threat
- 00:13:36 - AI timelines
- 00:24:49 - Why we might build risky AI
- 00:33:58 - Takeoff speeds
- 00:51:33 - Why AI could have bad motivations
- 00:56:33 - Lessons from our current world
- 01:08:23 - "Superintelligence"
- 01:15:21 - Technical causes of AI x-risk
- 01:19:32 - Intent alignment
- 01:33:52 - Outer and inner alignment
- 01:43:45 - Thoughts on agent foundations
- 01:49:35 - Possible technical solutions to AI x-risk
- 01:49:35 - Imitation learning, inverse reinforcement learning, and ease of evaluation
- 02:00:34 - Paul's favorite outer alignment solutions
- 02:01:20 - Solutions researched by others
- 2:06:13 - Decoupling planning from knowledge
- 02:17:18 - Factored cognition
- 02:25:34 - Possible solutions to inner alignment
- 02:31:56 - About Paul
- 02:31:56 - Paul's research style
- 02:36:36 - Disagreements and uncertainties
- 02:46:08 - Some favorite organizations
- 02:48:21 - Following Paul's work
The transcript: axrp.net/episode/2021/12/02/episode-12-ai-xrisk-paul-christiano.html
Paul's blog posts on AI alignment: ai-alignment.com
Material that we mention:
- Cold Takes - The Most Important Century: cold-takes.com/most-important-century
- Open Philanthropy reports on:
- Modeling the human trajectory: openphilanthropy.org/blog/modeling-human-trajectory
- The computational power of the human brain: openphilanthropy.org/blog/new-report-brain-computation
- AI timelines (draft): alignmentforum.org/posts/KrJfoZzpSDpnrv9va/draft-report-on-ai-timelines
- Whether AI could drive explosive economic growth: openphilanthropy.org/blog/report-advanced-ai-drive-explosive-economic-growth
- Takeoff speeds: sideways-view.com/2018/02/24/takeoff-speeds
- Superintelligence: Paths, Dangers, Strategies: en.wikipedia.org/wiki/Superintelligence:_Paths,_Dangers,_Strategies
- Wei Dai on metaphilosophical competence:
- Two neglected problems in human-AI safety: alignmentforum.org/posts/HTgakSs6JpnogD6c2/two-neglected-problems-in-human-ai-safety
- The argument from philosophical difficulty: alignmentforum.org/posts/w6d7XBCegc96kz4n3/the-argument-from-philosophical-difficulty
- Some thoughts on metaphilosophy: alignmentforum.org/posts/EByDsY9S3EDhhfFzC/some-thoughts-on-metaphilosophy
- AI safety via debate: arxiv.org/abs/1805.00899
- Iterated distillation and amplification: ai-alignment.com/iterated-distillation-and-amplification-157debfd1616
- Scalable agent alignment via reward modeling: a research direction: arxiv.org/abs/1811.07871
- Learning the prior: alignmentforum.org/posts/SL9mKhgdmDKXmxwE4/learning-the-prior
- Imitative generalisation (AKA 'learning the prior'): alignmentforum.org/posts/JKj5Krff5oKMb8TjT/imitative-generalisation-aka-learning-the-prior-1
- When is unaligned AI morally valuable?: ai-alignment.com/sympathizing-with-ai-e11a4bf5ef6e
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