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Vasant Dhar

Professor at NYU Stern and the Center for Data Science, longtime AI researcher and founder of an early machine‑learning hedge fund, author and host of the Brave New World podcast with deep expertise on AI history, business, and societal impact.

Top 3 podcasts with Vasant Dhar

Ranked by the Snipd community
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16 snips
Dec 1, 2025 • 3h 28min

Ep 432: Vasant Dhar's Lifetime in Artificial Intelligence

Vasant Dhar, a professor at NYU Stern and an AI pioneer, shares his extensive journey in artificial intelligence, from the 1970s to the present. He discusses how tools like ChatGPT have transformed public engagement with AI. Vasant debunks common myths surrounding AI and elaborates on its implications for human cognition. He reflects on the balance between technology and human roles in education and warns of AI's risks, including the potential erosion of truth. The conversation navigates exciting possibilities and serious challenges in our rapidly evolving AI landscape.
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Nov 14, 2024 • 38min

Building the Future of Finance: Inside AI Valuation Bots

Vasant Dhar, a professor at NYU's Stern School of Business, shares insights on the intersection of AI and finance. He discusses the Damodaran Bot, which emulates valuation methods of a finance legend. The conversation explores the transformative role of AI in financial analysis, like the integration of narratives and quantitative data. Dhar probes the complexities of valuing tech companies and the challenges of maintaining accuracy in AI assessments. Listeners also gain insights into innovative AI tools shaping the future of finance.
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Dec 4, 2025 • 36min

Thinking With Machines

Vasant Dhar, a data science professor at NYU and author of 'Thinking With Machines,' explores the rapid evolution of AI and its implications. He discusses the balance between leveraging AI as a tool and the risks of overreliance, which could deepen societal divisions. Dhar also highlights the transformative potential of AI in fields like finance and medicine, cautioning about the accuracy of predictions based on domain knowledge. He emphasizes the need for robust governance to ensure accountability while maximizing innovation.

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