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YouTube

The Past, Present and Future of AI with Geoffrey Hinton

The Royal Institution via YouTube

Overview

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Explore the past, present, and future of artificial intelligence through an insightful 12-minute interview with Geoffrey Hinton, the Nobel Prize-winning "Godfather of AI" and Professor Emeritus at the University of Toronto. Delve into the theoretical foundations of AI and discover why Hinton's 1986 paper on back propagation was revolutionary for the field. Learn how back propagation works as a fundamental mechanism in neural networks and understand how increased data availability and computational power transformed AI development. Examine the current capabilities of AI models and investigate whether chatbots truly comprehend their responses or merely simulate understanding. Consider the critical question of government regulation and whether current policy responses are adequate to address AI's rapid advancement. Understand the concept of superintelligence and explore why AI systems might seek greater power than humans. Reflect on questions of responsibility in AI development and examine what regulatory frameworks could ensure AI serves humanity's benefit. Assess whether governments can be trusted to implement effective AI governance and discover how artificial intelligence is poised to revolutionize scientific discovery and research methodologies.

Syllabus

00:00 Introduction
00:38 When was AI as a theoretical concept first conceived?
1:38 Why was your 1986 paper about back propagation so important?
2:40 How does back propagation work?
4:06 How did an increase in data and compute power change the field of AI?
5:09 How powerful are the AI models we have today?
5:52 Do chatbots really understand what they're saying?
6:39 How should governments respond to AI, and are they doing enough?
7:17 What is a super intelligence?
8:11 Why would an AI model want more power than us?
9:15 Do you feel a sense of responsibility for how AI is developing?
9:57 What regulation and framework would ensure AI is used for good?
10:42 Do you trust governments to put these frameworks in place?
10:51 How will AI change scientific discovery and research?

Taught by

The Royal Institution

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