| Attribute | Detail |
|---|---|
| Format | Online, self-paced course |
| Level | Basic / Beginner |
| Duration | 2–3 Weeks |
| Certification | e-Certification |
| Fee | ₹199 / $20 |
| Tools | Artificial Intelligence AI Ethics Responsible AI Bias and Fairness Data Privacy Explainability |
About the AI Ethics and Responsible AI Course
The AI Ethics and Responsible AI course is a free, beginner-friendly self-paced program designed to help learners understand the ethical, social, and responsible use of artificial intelligence.
The course introduces key ideas such as bias in AI, fairness, transparency, accountability, data privacy, and the impact of AI on society. Learners will explore how AI systems should be designed and used responsibly to ensure trust, safety, and fairness. This course is ideal for beginners who want to understand the ethical side of AI and its real-world implications.
Program Highlights
• Free beginner-level AI ethics course
• Online self-paced learning format
• Simple explanation of ethical AI concepts
• Covers bias, fairness, privacy, and accountability
• Real-world case studies and examples
• Suitable for technical and non-technical learners
• e-Certification upon successful completion
Course Curriculum
Module 1: Introduction to AI Ethics
- What is AI Ethics?
- Why Responsible AI Matters
- Impact of AI on Society
- Examples of Ethical and Unethical AI Use
Module 2: Bias, Fairness, and Transparency
- Understanding Bias in AI Systems
- Fairness in Decision-Making
- Transparency and Explainability
- Real-World Examples of AI Bias
Module 3: Privacy, Security, and Accountability
- Data Privacy in AI Systems
- Security Risks and Challenges
- Accountability in AI Decision-Making
- Regulations and Guidelines Overview
Module 4: Responsible AI Practices
- Principles of Responsible AI
- Ethical AI Design and Deployment
- Human-Centered AI Systems
- Limitations and Risks of AI
Module 5: Applications and Future of Ethical AI
- AI Ethics in Healthcare, Finance, and Technology
- Global Trends in AI Governance
- Careers and Learning Pathways in Responsible AI
- Mini Learning Activity / Concept-Based Practice
Tools, Techniques, or Platforms Covered
Artificial Intelligence AI Ethics Responsible AI Bias and Fairness Data Privacy Explainability
Real-World Applications
- Understanding bias in hiring, lending, and recommendation systems
- Ensuring fair and transparent AI decision-making
- Protecting user data and maintaining privacy
- Applying ethical AI principles in business and research
- Preparing for roles in AI governance and policy
Who Should Attend & Prerequisites
- This course is suitable for students, beginners, professionals, policymakers, and anyone interested in understanding the ethical and responsible use of AI.
- It is also useful for learners from technology, business, law, healthcare, social sciences, and management backgrounds.
Certification
