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LTT: R. Dotan
December 7, 2021 @ 11:10 am - 12:30 pm EST
Ravit Dotan, University of California Berkeley, Center Postdoc Fellow
Participatory AI Ethics Governance
ABSTRACT: I am designing a new approach for AI ethics governance, based on meaningful stakeholder participation. Currently, the prominent approach in AI ethics governance focuses on articulating AI ethics principles on topics such as transparency, fairness, and privacy. A minority of organizations also develops tools for the implementation of these principles, e.g., checklists, questionnaires, and computational tools to reduce bias in datasets. In this talk, I will point out some of the limitations of this existing approach. In addition, I will argue that monitoring organizations’ critical practices is crucial for guiding the development of ethical AI systems. Do the organizational culture and procedures support raising and responding to ethical criticism? For example, does the organization cultivate ethical literacy? Does the organization seek and act on ethical feedback? Does the organization have access to diverse perspectives from all stakeholders? I will argue that monitoring such aspects of organizational behavior is key for effective AI ethics governance.
Please Note: Non-Pitt individuals who want to attend our in-person talks must send an email in advance to Katie Labuda (kathleenlabuda@pitt.edu) requesting Guest Building Access, or you will not be able to enter the Cathedral of Learning.
If you prefer to watch on Zoom, please register here: https://pitt.zoom.us/webinar/register/WN_z0KxQjF5R6KVHIU0yXVmZw
After the talk, Ravit is inviting all online participants for a Zoom “office hour” to meet with her and discuss the talk: