Governance for Trustworthy AI
Offered By: Toronto Machine Learning Series (TMLS) via YouTube
Course Description
Overview
Explore the critical topic of governance for trustworthy AI in this insightful conference talk delivered by Andres Rojas, Director of Applied AI Projects at the Vector Institute for AI. Gain valuable perspectives on the importance of establishing robust governance frameworks to ensure the responsible development and deployment of artificial intelligence systems. Delve into key considerations for creating AI solutions that are ethical, transparent, and accountable. Learn about best practices and strategies for implementing effective AI governance within organizations. Discover how proper governance can help mitigate risks, build trust, and maximize the potential benefits of AI technologies across various industries and applications.
Syllabus
Governance for Trustworthy AI
Taught by
Toronto Machine Learning Series (TMLS)
Related Courses
The Laws of Digital Data, Content and Artificial Intelligence (AI)University of Law via FutureLearn Artificial Intelligence Privacy and Convenience
LearnQuest via Coursera AI Accountability Essential Training
LinkedIn Learning Artificial Intelligence: an Overview
Politecnico di Milano via Coursera Building Responsible AI - Best Practices Across the Product Development Lifecycle
Data Science Dojo via YouTube