Talk: Responsible AI - Fairness, Transparency and Safety

As AI systems are used more and more in education, finance and public services, questions of fairness, transparency and accountability have become urgent. This talk introduces the foundational concepts of responsible AI and suggests how to apply them in projects run by students, lecturers and businesses.

Main Content

• Core principles: fairness, transparency, safety, privacy and accountability
• Sources of bias in data and models, with illustrative examples
• Introduction to explainable AI approaches
• A risk assessment process to follow before deploying an AI system
• Protecting personal data and using data ethically
• Open discussion: real-world scenarios and appropriate responses

Who Should Attend

Students, lecturers, researchers, managers and technology professionals who want a better understanding of the ethical and governance aspects of artificial intelligence. No programming background is required.

Detailed information about the program will be updated on this page.