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How can we tackle bias in AI when we use it for healthcare?
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International
Artificial intelligence is increasingly being used in healthcare to improve the speed, quality and reach of health services, however the potential for AI to develop biases must be addressed, according to international researchers. The team reviewed the different ways AI can pick up on systemic and racial biases and potentially enhance them if not kept in check, and formulated a checklist that could be used to make sure AI doesn't go off track. This checklist includes questions about the quality of data used to train the AI, the potential unintended consequences it could have for particular subgroups of people and how it will be monitored over time.
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