Transparency In Artificial Intelligence
8 June 2021 (Tue)

5:30  -  6:30 p.m. (Hong Kong Time : GMT+8)


Live virtual class (Zoom)

Free Registration. A processing fee applies for proof of attendance

Event Content
As AI models and services are used in a growing number of high-stakes areas, a consensus is forming around the need for a clearer record of how they are created to increase trust.  Several proposals for higher quality and more consistent AI documentation have emerged, addressing technical details along with ethical concerns and potential social impacts.  This talk will provide an overview of FactSheets, IBM's approach to AI documentation.  FactSheets will typically contain model purpose, performance, safety, security, and fairness information collected at various points in the AI lifecycle.  We will review some of these common elements and discuss a methodology for creating useful FactSheets.


John Richards
Distinguished Research Staff Member, Research,

John Richards is a Distinguished Research Staff Member in the IBM Research AI department. He is a Fellow of both ACM and the British Computer Society and has received numerous awards including the Lifetime Practice Award from ACM SIGCHI. 
His recent research in human-centered AI has focused on the quality of chatbots and techniques for documenting AI models and services.

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