Discussion leader: Sunil Saksena & Alan Greene
8:15 in the DCA’s Lilian Gade room.
Agenda
  1. What is AI
  2. Why is AI important
  3. Current Applications of AI
  4. Ethics and hazards associated with AI

THE RESPONSIBLE AI

Needs to be ethically sound and complies with regulations

Foundation of end-to-end governance

Supported by strong performance that address’s bias and fairness;  explainability and robust security.

FIVE KEY AI CHALLENGES:

Governance:

Who is accountable?

Does AI align with the business strategy?

What controls need to be in place to track performance and problems?

Are the results consistent and reproducible?

Ethics and Regulation

AI solutions should be morally responsible and legally and ethically defensible.

Explainability

AI should be easily explain to members of the organization, shareholders, outside reviewers and 

consumers.

Robust and secure

AI systems need to be safe resilient and secure.

Fairness

Must be fair without bias

Here are  a few articles to prepare for the discussion :
How to Build Artificial Intelligence We Can Trust
Book: “Applied Artificial Intelligence” by Mariya Yao