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个人简介
Dhar’s research focuses on the role of Artificial Intelligence in our lives. One part is about machine-based decision making and the trustworthiness of machines. The other part is about the broader impacts of data and technology in our lives, and the creation of policies for a better future in a world of intelligent machines.
Dhar’s high level framework breaks down trust into 2 risk-based dimensions. The first is inherent predictability, or how frequently a system makes mistakes. Think of this on the X-axis between zero and one. The second dimension, along the Y-axis is the cost of error of mistakes. The research demonstrates the existence of an “automation frontier” that expresses a tradeoff between how often a system will be wrong and its consequences. Trust, and hence our willingness to cede control of decision making to the machine, increases with increasing predictability and lower error costs. In other words, we are willing to trust machines if they don’t make too many mistakes and their costs are tolerable.
Dhar’s high level framework breaks down trust into 2 risk-based dimensions. The first is inherent predictability, or how frequently a system makes mistakes. Think of this on the X-axis between zero and one. The second dimension, along the Y-axis is the cost of error of mistakes. The research demonstrates the existence of an “automation frontier” that expresses a tradeoff between how often a system will be wrong and its consequences. Trust, and hence our willingness to cede control of decision making to the machine, increases with increasing predictability and lower error costs. In other words, we are willing to trust machines if they don’t make too many mistakes and their costs are tolerable.
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arxiv(2024)
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JOURNAL OF INVESTMENT MANAGEMENTno. 4 (2022): 87-101
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Roger M. Stein, Daniel Arbess,Dina Aronson,Vasant Dhar, Ophir Falk, David Gershon, Thomas Hughes,David Katz,Alexander Lipton, Debbie Lucas, Governor Andrew Cuomo
semanticscholar(2020)
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