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A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. In this course, you will learn how to design and implement ethical AI systems that balance innovation with accountability. You’ll explore core ethical frameworks, responsible data practices, bias mitigation strategies, and governance models that promote fairness, transparency, and trust. The journey begins with the ethics of generative AI and moves into practical applications of responsible development. You’ll examine how to embed ethics into AI teams, guide executive leadership, and strengthen board oversight. The course also covers stakeholder engagement, global communication, regulatory compliance, and trust-building strategies. Ideal for AI professionals, business leaders, and policymakers, this Intermediate-level course requires only a basic understanding of AI concepts. By the end of the course, you will be able to apply ethical frameworks, reduce bias, align AI with governance standards, and lead responsible AI initiatives.
