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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.
