This course aims to educate business leaders on the importance of Responsible AI and staying ahead of regulation and business risks. Participants will learn about challenges such as bias, adversarial attacks, and unintended user and societal harms in AI. The course covers Google's principles, governance, and practices to ensure responsible AI outcomes, along with examples and best practices. The teaching method includes lectures on topics like Googles Principles, Establishing Effective Governance, Model Understanding, and Responsibilities. This course is intended for business leaders interested in understanding and implementing Responsible AI practices in their organizations.
Overview
Syllabus
Introduction
The promise of AI
Problems with AI
Lack of control
How to become more responsible
Googles Principles
Respect the User
Establish Effective Governance
People are Essential
Model Understanding
Model Interpretation
Data Cards
Multiple Metrics
Secondary Models
Complex Blended Functions
Responsibilities
Conclusion
Recap
Resources
Taught by
GOTO Conferences
