This training includes real-world case studies and practical discussions to help you understand AI bias, privacy, fairness, governance, regulatory compliance, and responsible AI practices, preparing you to apply ethical AI principles in real-world projects.
Prerequisites
- Basic computer literacy
- Helpful but optional: basic understanding of AI concepts
- Helpful but optional: Interest in social, legal, or policy issues
What You Will Learn
- Core ethical principles related to AI (fairness, accountability, transparency)
- How bias occurs in data and algorithms
- Ethical risks and societal impacts of AI systems
- Privacy and data protection considerations
- Responsible AI design and development practices
- Frameworks and guidelines for ethical decision-making
- AI governance, regulation, and policy basics
- Real-world case studies of ethical and unethical AI use