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1
Introduction
2
Welcome
3
Story
4
The Twist
5
Nicks Story
6
Risks
7
Machine Learning Life Cycle
8
Bias
9
Bias in Data
10
Explainability
11
Continuous Evaluation
12
Wrap Up
Description:
Explore the critical aspects of responsible AI implementation in the banking sector through this insightful conference talk by Google experts Ranadip Chatterjee and Christos Aniftos. Delve into real-world scenarios, including "Nick's Story," to understand the potential risks and challenges associated with AI in financial services. Gain valuable knowledge on the machine learning lifecycle, addressing bias in data, ensuring explainability, and the importance of continuous evaluation. Learn how to navigate the complexities of AI ethics and governance to create more fair, transparent, and accountable AI systems in the banking industry.

Responsible AI in Banking

Linux Foundation
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