Ethical & Responsible AI: Building Trustworthy AI Systems

About this course

This course contains the use of artificial intelligence.

Are you looking to master the principles of Ethical & Responsible AI?

As AI systems become deeply embedded in decision-making, businesses and governments face growing challenges around fairness, accountability, transparency, and compliance. This course, Ethical & Responsible AI: Building Trustworthy AI Systems, equips you with the knowledge and tools to design, audit, and govern AI responsibly.

Through real-world case studies, global frameworks, and hands-on techniques, you’ll learn how to spot ethical risks, mitigate bias, and implement governance practices that make AI systems trustworthy and future-proof.

What You’ll Learn:

• Core Principles of Responsible AI – Fairness, Accountability, Transparency, Explainability, and Human-Centric Design.
• Ethical Risks in AI Systems – Bias, black-box decision making, misinformation, and privacy violations.
• Global Standards & Regulations – OECD, UNESCO, EU AI Act, NIST AI RMF, ISO standards, and India’s AI guidelines.
• Bias Detection & Mitigation – Use tools like IBM AI Fairness 360, Fairlearn, and Google What-If Tool to identify and reduce bias.
• Explainable & Transparent AI – Apply LIME, SHAP, and other techniques to build interpretable and auditable AI systems.
• Organizational AI Governance – Draft AI ethics policies, set up governance boards, and create risk registers.

Practical Application – Case studies from Microsoft, Google, and real-world AI failures, plus a final project where you build your own Ethical AI Action Plan.

Who Should Enroll?

This course is ideal for:

• AI & Data Science Professionals embedding ethics into model development.

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