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Explore the comprehensive history of artificial intelligence and its economic implications in this 51-minute lecture that traces AI's evolution from ancient myths to modern ChatGPT breakthroughs. Journey through seven decades of AI development, beginning with the foundational 1956 Dartmouth conference where the field was born, and discover how early attempts to replicate human intelligence gave way to pragmatic approaches that revolutionized the field. Examine pivotal moments including Alan Turing's contributions, the rise and fall of expert systems during AI winters, Deep Blue's victory over Kasparov, and the emergence of machine learning systems like Watson that succeeded without mimicking human thought processes. Delve into the latest chapter of generative AI and understand why economists have historically misunderstood automation's impact on work and society. Learn about the "artificial intelligence fallacy" and the concept of "task encroachment" that challenges traditional economic thinking about technological displacement. Gain insights into how AI's relationship with human labor has evolved and what this means for the future of work, presented by economist Daniel Susskind, author of acclaimed books including "A World Without Work" and "Growth: A Reckoning," and delivered as part of Gresham College's free public lecture series.
