Vasant Dhar

Aden Bahadori and Brett Granstaff, creators of Tachi AI who build film-editing tools to automate rough cuts. Christopher Mims, technology journalist and author exploring practical limits of AI. Vasant Dhar, AI researcher and author focused on decision-making with machines. They discuss how AI streamlines tedious creative work, the compounding advantage of consistent AI use, and why human framing and expertise remain essential.

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.

Vasant Dhar, NYU Stern professor and veteran AI researcher in finance and healthcare, outlines a practical trust framework for deciding when to rely on machines. He discusses predictability versus cost of error, why many pilots fail, how leaders should pick first AI projects, and why domain knowledge and data readiness matter. The conversation stresses thinking slowly while learning to think 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.

Dr. Vasant Dhar, NYU Stern professor and author of Thinking with Machines, explains Dhar's Conjecture and the power of small probabilistic edges. Conversation covers why RevOps must extend beyond the sale, how AI turns digital exhaust into measurable signals, and how tiny performance advantages compound into major commercial gains.