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Artificial intelligence for health equity

Black woman, doctor and senior patient looking at a tablet.

Overview

Can artificial intelligence be used to advance health equity?

In reviewing the literature, this think piece finds that in certain contexts it can – such as improving disease detection in equity-deserving populations, expanding access to services, and raising health literacy and awareness. These examples suggest ways AI systems could strengthen the organization and effectiveness of Ontario’s health system.

The next important question, however, is understanding which approaches, strategies and structures enabled these promising examples. Answering this requires a deeper investigation of the processes, frameworks and reflective practices that make AI systems effective tools for health equity. Without that groundwork, the use of AI risks reproducing and amplifying the structural problems health systems seek to address.

Key message

“The momentum and resources devoted to AI in health must be matched by investment in ethical, legal and equity-focused enablers to ensure benefits reach everyone in Ontario.”

Artificial intelligence for health equityDownload the think piece
Jemal Demeke

Jemal Demeke

Jemal Demeke is a researcher at Wellesley Institute. He has consistently used his community organizing experience to inform his public health research approaches. His research spans infectious disease epidemiology, implementation science, and equitable health interventions. African, Caribbean and Black communities have a continued presence in his professional focus. He has founded equity initiatives in large organizations, led workshops for healthcare providers, and built relationships between community stakeholders and health agencies. His work at Wellesley Institute leverages these experiences to inform policy change for racialized communities across Canada.