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Leadership of Responsible AI - The Case for Inclusive Tech

Offered By: Toronto Machine Learning Series (TMLS) via YouTube

Tags

Responsible AI Courses Artificial Intelligence Courses Leadership Courses AI Ethics Courses Discrimination Courses Inequality Courses Algorithmic Bias Courses Fourth Industrial Revolution Courses

Course Description

Overview

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Explore the critical intersection of AI ethics and inclusive technology in this thought-provoking 35-minute conference talk by Elizabeth Adams, Chief AI Ethics & Culture Advisor at Women in AI and Affiliate Fellow at the Institute of Human-Centered AI. Delve into the challenges and opportunities presented by artificial intelligence in the 4th Industrial Revolution, examining how AI-enabled technologies can be both a force for good and a potential amplifier of inequality, discrimination, and bias. Gain valuable insights from real-world cases of algorithmic bias and their societal impacts. Learn from Adams' extensive experience as a scholar-practitioner and her research on Leadership of Responsible AI™, drawing from her work with Fortune 500 companies, government organizations, and her role in supporting 8,000 women worldwide through Women in AI. Discover the importance of responsible AI leadership and the path towards creating more inclusive technological solutions for the future.

Syllabus

Leadership of Responsible AI The Case for Inclusive Tech


Taught by

Toronto Machine Learning Series (TMLS)

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