Vasant Dhar

Carnegie Mellon University, Health Affairs, New York University

Papers

Total Citations

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About

Vasant Dhar is a pioneering researcher at the intersection of artificial intelligence, finance, and strategic decision-making. As a professor at New York University's Stern School of Business and the Center for Data Science, his work has fundamentally shaped how we think about machine intelligence in high-stakes domains. His most influential research explores the critical question of algorithmic trust, particularly in financial markets where machines must navigate massive data streams to make investment decisions with minimal human guidance. His seminal paper "Should You Trust Your Money to a Robot?" (2015) has garnered significant attention, analyzing the comparative strengths and weaknesses of human versus machine judgment in investment contexts. Dhar's earlier work on knowledge-based support systems for long-range planning (2018) laid crucial groundwork for understanding how AI can augment strategic decision-making. His research has accumulated hundreds of citations and has been instrumental in shaping the dialogue around the ethical deployment of AI in financial services. Dhar's contributions extend beyond academia, influencing how both institutional investors and individual traders approach the integration of machine learning into their investment strategies.