In this talk, I presented and argued for my approach to AI ethics governance. The talk was hosted by the Center for the Philosophy of Science, Pittsburgh University.
Highlights:
► 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 my talk, I pointed out some of the limitations of this existing approach
► In addition, I argued that monitoring organizations’ critical practices is key for guiding the development of ethical AI systems. An important question to ask is: 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 argued that monitoring such aspects of organizational behavior is key for effective AI ethics governance.
► No recording available, unfortunately.