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AI Ethics & Responsible AI – Fairness, Bias, and Governance

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About this course

AI Ethics & Responsible AI – Fairness, Bias, and Governance CourseArtificial Intelligence is transforming industries — but irresponsible AI can cause serious harm, including bias, discrimination, privacy violations, and loss of trust.

This course provides a clear, practical, and real-world understanding of AI ethics and responsible AI practices. You will learn how ethical failures happen in AI systems, how they impact businesses and society, and most importantly, how to prevent them.

Designed for beginners, professionals, and decision-makers, this course explains complex ethical concepts in a simple and structured way — using real case studies, including flawed recruitment systems and biased image generators.

What You Will Learn (Learning Outcomes)By the end of this course, you will be able to:

  • Understand the fundamentals of AI ethics and responsible AIIdentify ethical risks and challenges in modern AI systems
  • Analyse real-world AI failures related to bias, discrimination, and stereotyping
  • Understand the negative impacts of irresponsible AI on individuals, businesses, and society
  • Apply the core pillars of ethical AI, including fairness and accountability
  • Recognize and mitigate bias and discrimination in AI models
  • Understand how AI systems can reinforce stereotypes and social harm
  • Learn how organizations implement AI governance and accountability frameworks
  • Protect data privacy and understand ethical data usage in AI systems
  • Build awareness of ethical decision-making in AI design and deployment
  • Strengthen trust, transparency, and responsibility in AI-driv

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