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Thomas Haigh

Historian of computing and professor affiliated with computer science at University of Wisconsin–Milwaukee; author of a forthcoming book on the history of artificial intelligence framed as a brand and contributor to histories of ENIAC and modern computing.

Top 3 podcasts with Thomas Haigh

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Dec 8, 2025 • 1h 42min

Thomas Haigh on the History of “AI” as a Brand

Thomas Haigh, a historian of computing and Professor at the University of Wisconsin–Milwaukee, dives into the intriguing world of artificial intelligence branding. He reveals how 'AI' has become a catch-all term for diverse technologies. Haigh discusses the historical context of AI, tracing its evolution from early conceptualizations to its role in shaping computer science departments. He urges a careful regulatory approach, emphasizing the importance of specific terms over the vague 'AI.' The conversation also connects today's generative AI bubble with past cycles and promises.
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Dec 8, 2025 • 1h 42min

Thomas Haigh on the History of “AI” as a Brand

Thomas Haigh, a historian of computing and professor at the University of Wisconsin–Milwaukee, dives into the evolution of artificial intelligence as a brand. He shares how the label 'AI' has consistently attracted disparate technologies over the decades. Haigh connects historical AI hype to current trends, stressing the importance of regulation focused on specific applications rather than the broad term 'AI.' He also explores the origins of the label, its cultural roots, and the impact of military funding, providing a captivating look at AI’s complex history.
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Dec 8, 2025 • 1h 42min

Thomas Haigh on the History of “AI” as a Brand

Thomas Haigh, a historian of computing and Professor at the University of Wisconsin-Milwaukee, dives into the fascinating history of the brand 'artificial intelligence.' He explores how 'AI' has been used to label varied technologies and why it remains an enduring intellectual brand. The conversation touches on the origins of AI branding, early misconceptions, and how these lessons apply to today’s generative AI hype. Haigh critiques AI's historical narrative and reflects on the implications for future technologies.

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