AI Ethics, Governance & Responsible AI Use , Get a brief overview of AI Ethics with various case studies to understand the ethics, principles, and governance.
Course 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 Principles
1. Foundations: What are AI Ethics? Why AI Needs Ethics?
2. The AI Ethics Core Principles
AI Bias, Transparency, Explainability, and Trust
3. When AI is Unfair: Understanding Bias
4. Transparency, Explainability, and Trust: Challenges in Deploying AI
AI in Work and the Real World
5. AI and Your Job: The Future of Work
6. AI in the Real World: High-Stakes Case Studies
AI in Society and the Far Future
7. AI, Society, and You: Truth, Democracy, and Rights
8. The Cutting Edge: AI That Creates and the Far Future
AI Governance
9. Governance, Policy, and Building Ethical AI
10. Governance and practical structures to implement ethical AI principles
Case Study
11. Case Study: Amazon’s 2025 AI Ethics Letter from Employees
12. Case Study: Uber’s AI-Driven Pay Systems & Legal Action
The 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
