The PyThia approach on how to ensure Trustworthy AI
The goal of this session is to exchange views on how organizations can build Trustworthy AI systems.
Starting by demonstrating PyThia, our solution for ensuring Trustworthy AI we would like to ignite discussions and compare experiences and perspectives on the below topics:
a) What are the pros and cons on using predefined checklists for evaluating how an organization governs an AI system?
b) Is there a golden standard for Transparent AI that can rule all explanations?
c) We’re evaluating the fairness of an AI model in a quantitative way, is this enough?
d) How is it possible for an organization to find a balance between building Trusted AI versus optimizing for efficiency and maximize their business benefit?
It is our aspiration that this session will at least help our team gather feedback, for participants to share knowledge and ideally for consensus or a shared vision to surface.
|Discussion - Capped