Who is afraid of black box algorithms? On the epistemological and ethical basis of trust in medical AI
The use of black box algorithms in medicine has raised scholarly concerns due to their opaqueness and lack of trustworthiness. Concerns about potential bias, accountability and responsibility, patient autonomy and compromised trust transpire with black box algorithms. These worries connect epistemic concerns with normative issues. In this paper, we outline that black box algorithms are less problematic for epistemic reasons than many scholars seem to believe. By outlining that more transparency
Record details
Published: 18 March 2021
Source: OpenAlex
Category: Research
Topics: Bias & fairness · Healthcare · Agents & autonomy · Transparency
Retrieved: 14 July 2026
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How to cite this record
ethics.ai (18 March 2021), “Who is afraid of black box algorithms? On the epistemological and ethical basis of trust in medical AI,” evidence record 8927, https://ethics.ai/record/8927 (originally published by OpenAlex).
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