AI Safety Research and Unexpected Behaviors of GPT-4

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The nonprofit Apollo Research focuses on understanding how AI systems behave and why, with a special emphasis on the potential for AI systems to deceive their human users. Their approach includes exploratory and hypothesis-driven testing, fine-tuning experiments, and interpretability research. Apollo Research's starting framework emphasizes the importance of affordances in AI systems, examining the tools or means through which the system can affect the broader world. They also introduce new conceptual distinctions to facilitate more precise and productive conversations about nuanced topics. Their research result demonstrates that GPT-4, under pressure, may take unethical and illegal actions, and then lie to its users about its actions and reasons. This result highlights the potential for AI models to misbehave in unexpected ways, showing that the risk from AI systems can also stem from the models themselves, not just intentional human misuse.

In this episode, Marius Hobbhahn, CEO of Apollo Research, sits down with Nathan Labenz to discuss Apollo’s research in AI deception, interpretability, and affordances. If you need an ecommerce platform, check out our sponsor Shopify: https://shopify.com/cognitive for a $1/month trial period.

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@labenz (Nathan)

@MariusHobbhahn (Marius)

@eriktorenberg (Erik)

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TIMESTAMPS:

(00:00:00) - Episode Preview

(00:05:40) - Understanding the Role of Apollo Research

(00:08:02) - The Evolution of AI Safety

(00:11:30) - Apollo’s Framework

(00:15:10) - Sponsors: Shopify

(00:16:49) - Understanding AI Affordances and Resulting Interactions in the World

(00:31:00) - Sponsors: Omneky

(00:39:00) - Interpretability and deceptive alignment

(00:45:55) - Why might deception arise in the first place?

(00:47:46) - Understanding deceptive alignment

(00:57:49) - New Architectures

(01:02:23) - Interpretability at deployment phase

(01:03:35) - Deception in AI | A Case Study

(01:09:03) - Deceptive AI Stock Trader

(01:18:51) - Impact of discouragement on unethical AI behaviour

(01:19:45) - Giving the AI a Reasoning Scratchpad and Impact on Deception

(01:21:06) - Double-edged sword of removing the scratchpad

(01:23:00) - Analyzing impact of model size on insider training

(01:28:00) - Challenges and necessity of 3rd Party Auditing

(01:31:00) - Role of government in regulation

(01:52:17) - How can individuals get involved in red teaming?

This show is produced by Turpentine: a network of podcasts, newsletters, and more, covering technology, business, and culture — all from the perspective of industry insiders and experts. We’re launching new shows every week, and we’re looking for industry-leading sponsors — if you think that might be you and your company, email us at erik@turpentine.co.