Advancing health equity with artificial intelligence.
J Public Health Policy
; 42(4): 602-611, 2021 Dec.
Article
in En
| MEDLINE
| ID: mdl-34811466
ABSTRACT
Population and public health are in the midst of an artificial intelligence revolution capable of radically altering existing models of care delivery and practice. Just as AI seeks to mirror human cognition through its data-driven analytics, it can also reflect the biases present in our collective conscience. In this Viewpoint, we use past and counterfactual examples to illustrate the sequelae of unmitigated bias in healthcare artificial intelligence. Past examples indicate that if the benefits of emerging AI technologies are to be realized, consensus around the regulation of algorithmic bias at the policy level is needed to ensure their ethical integration into the health system. This paper puts forth regulatory strategies for uprooting bias in healthcare AI that can inform ongoing efforts to establish a framework for federal oversight. We highlight three overarching oversight principles in bias mitigation that maps to each phase of the algorithm life cycle.
Key words
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Artificial Intelligence
/
Health Equity
Type of study:
Prognostic_studies
Aspects:
Equity_inequality
/
Ethics
Limits:
Humans
Language:
En
Journal:
J Public Health Policy
Year:
2021
Document type:
Article
Affiliation country:
United States