A new approach to AI ethics governance

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.

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