Fostering Trust via Explainable ML Inferences - Dalmo Cirne
Channel: Dalmo Cirne
Date: 2023-06-01

Talk given at the Linux Foundation Open Source Summit North America 2023.

Machine Learning is exploring the space of including explainability to inferences as a mechanism to either increase the perceived value (i.e., increased trust in the results) or, at a minimum, to facilitate the conversation with customers by focusing on specific points, such as why that particular inference was sub-par. In this presentation we will examine the dynamic of trust between a service provider (Trustor) and service consumers (Trustees) and provide a practical, quantifiable framework to implement it in practice. Trustors are required to be trusting and trustworthy, whereas trustees need not be trusting nor trustworthy. The challenge for trustors is to provide services that are good enough to make a trustee increase their trusting level above a minimum threshold for the establishment and continuation of service.