Joe Carlsmith is a writer, researcher, and philosopher. He works as a senior research analyst at Open Philanthropy, where he focuses on existential risk from advanced artificial intelligence. He also writes independently about various topics in philosophy and futurism, and holds a doctorate in philosophy from the University of Oxford.
You can find links and a transcript at www.hearthisidea.com/episodes/carlsmith
In this episode we talked about a report Joe recently authored, titled βScheming AIs: Will AIs fake alignment during training in order to get power?β. The report βexamines whether advanced AIs that perform well in training will be doing so in order to gain power laterβ; a behaviour Carlsmith calls scheming.
We talk about:
- Distinguishing ways AI systems can be deceptive and misaligned
- Why powerful AI systems might acquire goals that go beyond what theyβre trained to do, and how those goals could lead to scheming
- Why scheming goals might perform better (or worse) in training than less worrying goals
- The βcounting argumentβ for scheming AI
- Why goals that lead to scheming might be simpler than the goals we intend
- Things Joe is still confused about, and research project ideas
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