Transparency of AI in Healthcare as a Multilayered System of Accountabilities: Between Legal Requirements and Technical Limitations
The lack of transparency is one of the artificial intelligence (AI)'s fundamental challenges, but the concept of transparency might be even more opaque than AI itself. Researchers in different fields who attempt to provide the solutions to improve AI's transparency articulate different but neighboring concepts that include, besides transparency, explainability and interpretability. Yet, there is no common taxonomy neither within one field (such as data science) nor between different fields (law
Record details
Published: 30 May 2022
Source: OpenAlex
Category: Research
Topics: Regulation · Safety & alignment · Healthcare · Transparency
Retrieved: 14 July 2026
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How to cite this record
ethics.ai (30 May 2022), “Transparency of AI in Healthcare as a Multilayered System of Accountabilities: Between Legal Requirements and Technical Limitations,” evidence record 9214, https://ethics.ai/record/9214 (originally published by OpenAlex).
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