This article explores how the concept of equality is affected by the techno-logical developments in healthcare, focusing on AI. In this regard, the article develops that in AI healthcare systems ensuring data quality is pivotal when trying to ensure theimplementation of the principle of equality. Analysing the European Commission9s pro-posed AI Act, we highlight how horizontal rules, coupled with standardisation, can achieve data quality in AI based healthcare technologies. The article concludes with a reflection on remaining grey areas that require further elaboration by the European legislator.

Aiste Gerybaite, Francesco Vigna, Sofia Palmieri (2022). Equality in Healthcare AI: Did Anyone Mention Data Quality?. BIOLAW JOURNAL, 4(22), 385-409 [10.15168/2284-4503-20224].

Equality in Healthcare AI: Did Anyone Mention Data Quality?

Aiste Gerybaite
;
Francesco Vigna
;
Sofia Palmieri
2022

Abstract

This article explores how the concept of equality is affected by the techno-logical developments in healthcare, focusing on AI. In this regard, the article develops that in AI healthcare systems ensuring data quality is pivotal when trying to ensure theimplementation of the principle of equality. Analysing the European Commission9s pro-posed AI Act, we highlight how horizontal rules, coupled with standardisation, can achieve data quality in AI based healthcare technologies. The article concludes with a reflection on remaining grey areas that require further elaboration by the European legislator.
2022
Aiste Gerybaite, Francesco Vigna, Sofia Palmieri (2022). Equality in Healthcare AI: Did Anyone Mention Data Quality?. BIOLAW JOURNAL, 4(22), 385-409 [10.15168/2284-4503-20224].
Aiste Gerybaite; Francesco Vigna; Sofia Palmieri
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/914097
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