4 Major Concerns in AI and Health Data

Author(s): Andrew Austin

Originally published on Towards AI.

The Ethical Challenges of AI with a focus on Healthcare

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This is part of a 10-part series about the Ethics and Governance of Artificial Intelligence for Health that the World Health Organization created.

Andrew Austin

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When it comes to AI and health data, the quality of data is paramount. Poor-quality, biased, or non-representative data can distort the performance of AI. There may also be no available data for marginalized groups. Data may be difficult to collect due to language barriers, or training data may be based on unpublished and unverified results. This systemic bias is due to… Read the full blog for free on Medium.

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