AI-Assisted Decision-making in Healthcare
Abstract Artificial intelligence (AI) is set to transform healthcare. Key ethical issues to emerge with this transformation encompass the accountability and transparency of the decisions made by AI-based systems, the potential for group harms arising from algorithmic bias and the professional roles and integrity of clinicians. These concerns must be balanced against the imperatives of generating public benefit with more efficient healthcare systems from the vastly higher and accurate computation
Record details
Published: 1 September 2019
Source: OpenAlex
Category: Research
Topics: Bias & fairness · Healthcare · Transparency
Retrieved: 14 July 2026
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How to cite this record
ethics.ai (1 September 2019), “AI-Assisted Decision-making in Healthcare,” evidence record 8577, https://ethics.ai/record/8577 (originally published by OpenAlex).
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