Responsible AI- From Principles to Practice

Explore the journey of Responsible AI (RAI) in a 26-minute talk by Dr. Tempest van Schaik. Delve into the ethical considerations of AI projects, learn how to transform high-level RAI principles into practical code, and discover the process of establishing an RAI review board for project oversight. Gain insights into practical RAI tools and techniques applicable throughout the AI lifecycle, with a special focus on healthcare applications. Examine the shift in AI practitioners' focus from capability to ethical implementation, and access valuable resources to continue your own RAI journey.

Introduction
Historical Journey
Biomedical Research
Responsible AI Reviews
Responsible AI Considerations
Healthcare Model
Data Sheets for Data Sets
Fair Learn
Interpret NL
Resources