The Arrival of AGI with Shane Legg (co-founder of DeepMind)

In this episode of the Google DeepMind podcast, Professor Hannah Fry interviews Shane Legg, Chief AGI Scientist and co-founder of Google DeepMind, about the definition, recognition, safety, ethics, and societal impact of Artificial General Intelligence (AGI). Legg defines AGI as an AI that can perform cognitive tasks at least as well as a typical person, distinguishing it from narrow AI and artificial superintelligence (ASI). The conversation covers the current state of AI, its uneven capabilities, and the path towards more reliable and general AI systems. They discuss the importance of ethics in AI development, focusing on reasoning and the challenges of grounding AI in human values. Legg anticipates significant societal transformations due to AGI, particularly in the economy and labor market, and stresses the need for proactive discussions across various sectors to navigate these changes effectively. He maintains his prediction of a 50-50 chance of achieving minimal AGI by 2028 and highlights the potential for a golden age if AGI is harnessed responsibly.

Outlines

Part 1: AGI Definition and Scope

Part 2: Ethical and Safety Considerations

Part 3: Societal and Economic Impacts

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Google DeepMind: The Podcast

Part 1: AGI Definition and Scope

Defining and Evaluating Artificial General Intelligence (AGI)

The Spectrum of AGI: From Minimal to Full

Beyond Human Intelligence: Artificial Superintelligence (ASI) and the AGI Definition Debate

Diverse Definitions of AGI and the Importance of a Defined Path

Part 2: Ethical and Safety Considerations

Embedding Ethics in AI: Chain of Thought Monitoring and Grounding in Reality

Ensuring AI Safety: Testing, Monitoring, and Interpretability

Part 3: Societal and Economic Impacts

Societal Impact of AGI: Consciousness, Superintelligence, and Cognitive Profiles

Economic Transformation and the Need for Societal Adaptation

Near-Term Disruptions and the Shifting Perception of AI

Industries at Risk, the Public's Perception, and AGI Timelines

The Arrival of AGI with Shane Legg (co-founder of DeepMind)

Google DeepMind: The Podcast

Part 1: AGI Definition and Scope

00:05Defining and Evaluating Artificial General Intelligence (AGI)

Defining and Evaluating Artificial General Intelligence (AGI)

04:52The Spectrum of AGI: From Minimal to Full

The Spectrum of AGI: From Minimal to Full

07:26Beyond Human Intelligence: Artificial Superintelligence (ASI) and the AGI Definition Debate

Beyond Human Intelligence: Artificial Superintelligence (ASI) and the AGI Definition Debate

12:27Diverse Definitions of AGI and the Importance of a Defined Path

Diverse Definitions of AGI and the Importance of a Defined Path

Part 2: Ethical and Safety Considerations

17:50Embedding Ethics in AI: Chain of Thought Monitoring and Grounding in Reality

Embedding Ethics in AI: Chain of Thought Monitoring and Grounding in Reality

23:45Ensuring AI Safety: Testing, Monitoring, and Interpretability

Ensuring AI Safety: Testing, Monitoring, and Interpretability

Part 3: Societal and Economic Impacts

27:36Societal Impact of AGI: Consciousness, Superintelligence, and Cognitive Profiles

Societal Impact of AGI: Consciousness, Superintelligence, and Cognitive Profiles

33:06Economic Transformation and the Need for Societal Adaptation

Economic Transformation and the Need for Societal Adaptation

37:38Near-Term Disruptions and the Shifting Perception of AI

Near-Term Disruptions and the Shifting Perception of AI

42:30Industries at Risk, the Public's Perception, and AGI Timelines

Industries at Risk, the Public's Perception, and AGI Timelines