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Discover best practices and cutting-edge open-source tools for implementing Responsible AI in this 38-minute talk by Minsoo Thigpen and Dr. Mehrnoosh Sameki. Delve into the ethical challenges arising as AI and machine learning technologies move from research to real-world applications. Gain valuable insights on incorporating responsible practices into your machine learning lifecycle, ensuring AI benefits people and aligns with ethical standards across industries. Learn about Responsible AI principles, explore open-source tools, and watch a practical demonstration. Perfect for machine learning enthusiasts, AI developers, data scientists, and anyone interested in the ethical implications of AI technology.
Syllabus
- Introduction
- Why Responsible AI?
- Introduction to our Responsible AI Principles
- Introduction to Open Source Tools
- Demo
- Q&A
Taught by
Open Data Science