A new paper by Angeliki Kerasidou, published in the Journal of Oral Biology and Craniofacial Research, discusses the resolution of ethical issues raised by the introduction of artificial intelligence (AI) in global health.
Whilst developing AI healthcare tools for use in lower and middle income countries has the potential to transform the delivery of health care, its potential depends on successfully addressing issues such as explainability and algorithmic bias. Whilst these issues may appear practical or technical in nature, resolving them requires engagement with, and ultimately the resolution of fundamental ethical questions of value, fairness and trust
The paper argues that it should not be left to AI developers, being either research institutions or global tech companies, to decide how to resolve these ethical questions. Particularly, relying on the trustworthiness of AI developers as an answer to ethical questions identified does not suffice.
It identifies the importance of developing and implementing national and international rules and regulations to define the parameters and set the boundaries of operation and engagement. Establishing these rules and regulations is a precondition for ensuring that AI will be fit for the purpose of serving the public and global good.
The full paper is available online.
Angeliki Kerasidou, Ethics of artificial intelligence in global health: Explainability, algorithmic bias and trust, Journal of Oral Biology and Craniofacial Research, Volume 11, Issue 4, 2021, https://doi.org/10.1016/j.jobcr.2021.09.004
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