Foundations in Responsible AI & AI Ethics

About this course

In today's rapidly evolving technological landscape, Artificial Intelligence (AI) is transforming every industry. But with great power comes great responsibility. This concise and impactful course is proudly organized by Mila - Quebec AI Institute, designed to equip you with the essential knowledge and practical steps needed to build, deploy, and manage AI systems ethically and safely.

The aim of this course is to equip participants with a solid foundation to understand and engage with AI in a responsible way. The course is informed by the expertise of Mila’s researchers and experts, offering practical and up-to-date perspectives to support informed decision-making and thoughtful adoption of AI within organizations.

What You Will Learn:

Section 1: Why Responsible AI? Setting the Stage (16 min): Understand the compelling business, ethical, and societal case for prioritizing responsible AI practices in every project.

Section 2: Responsible AI – Core Concepts That Matter (13 min): Master the foundational concepts, including fairness, transparency, privacy, and accountability, that form the bedrock of ethical AI.Section 3: Principles, Risks, and Real-World Dilemmas (14 min): Explore leading industry principles, identify common AI risks (bias, harm, misuse), and analyze complex, real-world case studies that challenge your perspective.

Section 4: Putting Responsible AI into Action (19 min): Learn tangible, practical steps to integrate responsible AI practices into the full AI/ML lifecycle—from ideation and data collection to model training and deployment.

Section 5: Wrapping Up and Moving Forward (3 min): Review key takeaways and discover resources and strategies for continuously learning and adapting to the future of ethical AI.Who is this

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