AI Ethics and Governance

What you'll learn
Learn AI Ethics from scratch
Get a quick overview of the governance of AI.
Learn about biasness in AI
Work with developing an AI Ethics Charter
Understand Explainability in AI
Learn why AI need ethics
Understand the case studies for AI Governance
Learn to work with the ethical AI
Understand some case studies related to AI Ethics and fairness
Requirements
Basic knowledge about AI
Description
Welcome to the AI Ethics courses. This course introduces the foundations of AI ethics and why ethical thinking matters in a rapidly evolving technological world. You'll explore core principles, examine how bias emerges, and grapple with the challenges of transparency and trust. Together, we look at how AI reshapes work, power, and society, from everyday tools to high‑stakes systems. Real‑world case studies reveal how ethical decisions unfold inside major companies and public institutions. By the end, you'll be ready to critically evaluate AI systems and contribute to building technology that serves people and protects society.This tutorial on the "Ethics of AI" is not only timely but crucial. A well-structured ethics of AI tutorial should blend philosophical foundations, technical realities, and practical governance.The core philosophy is to move from "What can we build?" to "What should we build?" and "How do we govern what we build?"**Course Lessons**Ethics of AI and Principles1. Foundations: What are AI Ethics? Why AI Needs Ethics?2. The AI Ethics Core PrinciplesAI Bias, Transparency, Explainability, and Trust3. When AI is Unfair: Understanding Bias4. Transparency, Explainability, and Trust: Challenges in Deploying AIAI in Work and the Real World5. AI and Your Job: The Future of Work6. AI in the Real World: High-Stakes Case StudiesAI in Society and the Far Future7. AI, Society, and You: Truth, Democracy, and Rights8. The Cutting Edge: AI That Creates and the Far FutureAI Governance9. Governance, Policy, and Building Ethical AI10. Governance and practical structures to implement ethical AI principlesCase Study11. Case Study: Amazon's 2025 AI Ethics Letter from Employees12. Case Study: Uber's AI-Driven Pay Systems & Legal ActionThe AI Ethics tutorial is prepared for students, engineers, and professionals. This tutorial will be useful for understanding the principles, governance, and ethics of AI.Note: We will demonstrate how to work with AI Ethics to understand the principles and governance.
Who this course is for
AI Engineers
Machine Learning Engineers
Data Science Enthusiasts
Data Analysts
Those who want to learn how to measure the fairness in AI
Those who works with the AI pipeline
Those who want to learn the process of Predictive Policing
For AI lovers, who understand AI ethics is an urgent, ongoing challenge.
Thos who want gain a deep understanding of Interpretability and Explainability
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