Highlights: #154 – Rohin Shah on DeepMind and trying to fairly hear out both AI doomers and doubters
Sep 12, 2023
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Rohin Shah, DeepMind researcher and advocate, explores safety and ethics in AI, potential risks of superintelligent beings, and the need for evaluation in AI progress. They discuss the challenges in AI development and the role of conceptual arguments.
Recent advancements in AI have created a sense of urgency among researchers, leading to increased interest in safety measures and alignment work.
Collaboration between safety and alignment researchers and AI developers is crucial for making AI systems safe to deploy and addressing ethical considerations in the field.
Deep dives
Impact of AI developments on DeepMind's mood
The podcast discusses how recent advancements in artificial intelligence have affected the mood at DeepMind, a top AI lab. The conversation highlights that the increasing pace of AI advances and the growing concern about existential risks from AI have created a sense of urgency among researchers. Additionally, there is a shift in mindset among some individuals who previously focused on machine learning but now recognize the potential for building AGI in the near future. While there are others who are confused about the strong reactions, the overall impact is an increased interest in safety measures and alignment work.
Importance of safety and alignment work
The podcast emphasizes the importance of safety and alignment work in AI development. The discussion highlights that current AI capabilities allow for the creation of useful products, but ensuring that these systems do good things and avoid harmful actions is crucial. The need for collaboration between safety and alignment researchers and AI developers is stressed, as they play a key role in making AI systems safe to deploy. The conversation also acknowledges that addressing ethics, fairness, bias, privacy, and disinformation is equally significant in the field.
The gradual process of human-AI collaboration
The podcast explores the idea that the future of human and AI interaction will involve a gradual process of delegation and collaboration. It is suggested that humans will not be completely cut out of the decision loop, but rather work in tandem with AI systems. The discussion reasons that as AI models become more capable, they can be trusted with tasks such as acquiring resources and inventing new technology. However, the idea of a sudden, complete transfer of decision-making power to AI is questioned, as it is more likely to be a gradual and ongoing process.
These aren't necessarily the most important, or even most entertaining parts of the interview — and if you enjoy this, we strongly recommend checking out the full episode: