Algorithm Bias with Tobias Baer, author of Understand, Manage, and Prevent Algorithm Bias The Trustworthy AI Podcast
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- Business
In this episode, we talk to Tobias Baer, author of “Understand, manage and prevent Algorithmic bias”, perhaps one of the earliest books (2019) on Trustworthy AI.
We cover a range of topics - from bias in algorithms and practical ways organizations can address it; what data scientists in a financial institution can learn from Greek literature, German philosophers, and martial arts; and finally, how AI is viewed differently in Asia and the West.
About the speakerTobias Baer, based in Taiwan, is a pioneer in data science and the application of analytics and psychology to risk management in banking. After more than two decades at McKinsey, he now supports a select set of Fintechs/start-ups as Senior Advisor and pursues psychological research in cooperation with the University of Cambridge.
See omnystudio.com/listener for privacy information.
In this episode, we talk to Tobias Baer, author of “Understand, manage and prevent Algorithmic bias”, perhaps one of the earliest books (2019) on Trustworthy AI.
We cover a range of topics - from bias in algorithms and practical ways organizations can address it; what data scientists in a financial institution can learn from Greek literature, German philosophers, and martial arts; and finally, how AI is viewed differently in Asia and the West.
About the speakerTobias Baer, based in Taiwan, is a pioneer in data science and the application of analytics and psychology to risk management in banking. After more than two decades at McKinsey, he now supports a select set of Fintechs/start-ups as Senior Advisor and pursues psychological research in cooperation with the University of Cambridge.
See omnystudio.com/listener for privacy information.
21 min