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 speaker
Tobias 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.

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The Trustworthy AI Podcast interviews leading figures in machine learning and AI, discussing how to bring high-quality AI applications to real-world use, while navigating regulations, ethical standards, and business and community needs.

The first season is hosted by Shameek Kundu, Chief Strategy Officer at TruEra. He'll speak to leading AI practitioners to demystify the concept of Trustworthy AI, focusing initially on financial services. He'll uncover the real extent of AI adoption in the industry today, the importance of building trust, and practical ways of getting there. 

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