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In this talk, Professor David Leslie argues that the cascading effects of health inequity span across four dimensions of the health-related AI innovation lifecycle:

1. The social and historical world in which the social determinants of health are situated and where pre-existing societal patterns of discrimination and social injustice – and the prejudices and discriminatory attitudes that correspond to such patterns – arise.

2. The data domain.

3. AI design, development, and deployment processes.

4. The ecosystem, that is, the wider social system of economic, legal, cultural, and political structures or institutions – and the policies, norms, and procedures through which these structures and institutions influence human action.

Professor David Leslie is the Director of Ethics and Responsible Innovation Research at The Alan Turing Institute. Before joining the Turing Institute, he taught at Princeton’s University Center for Human Values, where he also participated in the UCHV’s 2017-2018 research collaboration with Princeton’s Center for Information Technology Policy on 'Technology Ethics, Political Philosophy and Human Values: Ethical Dilemmas in AI Governance.'

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