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The ethical risks and solutions of the algorithm black box in medical artificial intelligence

Year: 2025

Type: article

Abstract: The application of artificial intelligence (AI) in the medical industry is becoming increasingly widespread.Relying on its powerful machine-learning capabilities, it has gradually become an important auxiliary diagnostic device.At the same time, it gradually has a certain degree of autonomy.But this also leads to the problem of lack of transparency in algorithms.A critical ethical issue known as the "algorithmic black-box" problem has emerged.For the ethical challenges associated with the opacity of medical artificial intelligence algorithms, enabling artificial intelligence systems to have reasoning and moral judgment abilities, namely constructing medical artificial moral agents, has been proposed as a viable solution.This article analyzes the solutions of constructing medical artificial moral agents including "top-down" and "bottom-up" approaches.After that, the new hybrid ethical design approach is proposed, integrating the advantages of both top-down and bottom-up approaches.

Source: Acta bioethica

DOI: 10.4067/s1726-569x2025000100024

Authors: Hu Qinggui, Tang Xiuqiong, Chen Hui, Wang Jinsong

Institutions: Neijiang Normal University, Neijiang Health Vocational College

Language: English

Topic: Artificial Intelligence in Healthcare and Education

Subfield: Health Informatics

Field: Medicine

Domain: Health Sciences

Open Access status: diamond

Funder: Department of Science and Technology of Sichuan Province

OpenAlex ID: W4408958809