Responsible AI in Banking

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.

Introduction
Welcome
Story
The Twist
Nicks Story
Risks
Machine Learning Life Cycle
Bias
Bias in Data
Explainability
Continuous Evaluation
Wrap Up