Learn about the fundamentals of ethics in AI. Explore ways to operationalize responsible AI in daily organizational practice.
Overview
Syllabus
1. Ethical Theories
- Introduction to ethical AI
- Beneficence vs. maleficence
- Operationalizing ethics
- Fairness and inclusivity
- Transparency and accountability
- Explainability and interpretability
- Critical AI incidents and learnings
- Bias in the design and development lifecycle
- Risk mitigation in AI
- Autonomous systems and society
- Anonymity and data privacy
- Unintended uses and misuses
- Socio-technical change
- Who AI is developed for
- What you can do
Taught by
Ayodele Odubela
