The expansion of AI highlights the need to build and deploy AI systems and products responsibly. This means pulling in cross-functional teams earlier and more often, knowing frameworks for building responsible products, and understanding algorithmic auditing to mitigate bias. This learning path provides practical information about responsible AI, governance, and algorithmic auditing to build AI products as responsibly and equitably as possible.
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Explore the concepts of algothmic bias and unfairness.
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Learn to mitigate the risks of AI while maximizing benefits.
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Use generative AI tools to mitigate algorithmic bias.
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Build algorithmic auditing/continuous monitoring processes.
Courses
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1
Foundations of Responsible AI1h 8mFoundations of Responsible AI
By: Vilas Dhar
Explore a practical framework for implementing AI practices in a way that bridges the gap between high-level AI ethics principles and day-to-day technical decisions.
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2
Responsible AI: Principles and Practical Applications1h 6mResponsible AI: Principles and Practical Applications
By: Jill Finlayson
Learn how AI is being used today and how to ensure its responsible usage into the future.
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3
Introduction to AI Governance59mIntroduction to AI Governance
By: Vidhi Chugh
Explore core concepts and practical strategies to effectively implement and manage AI governance.
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4
Compliance and Regulations for Generative AI40mCompliance and Regulations for Generative AI
By: Adrián González Sánchez
Learn about compliance building blocks and considerations that you should keep in mind when adopting generative AI.
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5
Building a Responsible AI Program: Context, Culture, Content, and Commitment1h 29mBuilding a Responsible AI Program: Context, Culture, Content, and Commitment
By: Katrina Ingram
Organizations who use AI need to ensure they do so in a socially responsible way. Learn how in this course.
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6
Introduction to Auditing AI Systems1h 19mIntroduction to Auditing AI Systems
By: Ayodele Odubela
Learn the fundamentals of how to adapt to and comply with AI regulation in this introductory course on auditing AI systems for bias and discrimination.
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7
Algorithmic Auditing and Continuous Monitoring1h 3mAlgorithmic Auditing and Continuous Monitoring
By: Brandie Nonnecke
Learn responsible AI governance, including how to establish a robust algorithmic auditing and continuous monitoring process.
Instructors
Vilas Dhar
President, Patrick J. McGovern Foundation ($1.5B) | Global Authority on AI, Governance & Social Impact | Board Director | Shaping Leadership in the Digital Age
Jill Finlayson
Brandie Nonnecke
Senior Director of Policy, Americans for Responsible Innovation
Tsu-Jae Liu
President, National Academy of Engineering
Vidhi Chugh
Agentic AI Business Leader | Microsoft MVP | AI Educator | Author | World’s Top 200 Innovators | AI Patent holder | Chief AI Officer
Adrián González Sánchez
Cloud & AI Architect, GenAI PM & Engineering @ Microsoft | ML Professor & Academic Director @ IE University | xCTO | 4x O’Reilly Books, 3x LinkedIn Learning & 1x DeepLearning.ai | AI Compliance (EU AI Act, ISO 42001)
Katrina Ingram
Responsible AI Literacy for everyone. ⭐ Educator I Speaker I Advisor