In this episode of the API Connections Podcast, Jon Scheele continues his deep dive into the complexities of AI governance with data scientist Koo Ping Shung. Following their discussion on AI bias and transparency, they explore the challenges organizations face in implementing robust data practices and the pivotal role of documentation in AI governance. Koo emphasizes the need for building trustable AI, arguing that trust, rather than strict adherence to governance or ethics alone, is the key to successful AI deployment. Together, they delve into the nuances of documentation, knowledge management, and the human element in AI, offering insights into creating AI systems that are both reliable and aligned with human values.

Sections:

• Challenges in Using Data and AI
• The Importance of Documentation for AI Governance
• Testing Models and Creating Models
• The Challenge of Documentation
• Using AI for Documentation and Knowledge Management
• Continuous Improvement and Data Quality
• Building Trustable AI
• Communication and Decision-Making in AI Governance
• The Limitations of AI Ethics