Work

Vulnerability in the age of artificial intelligence: addressing gender bias in healthcare

Year: 2024

Type: article

Abstract: Gender bias represent a source of vulnerability in current clinical practice as they can harm patients, especially those identified as gender minorities. This risk is increased in the age of AI-powered healthcare, which calls for redefining vulnerability and strategies to prevent algorithms from exacerbating already existing inequalities. To this end, we analyse the solutions proposed by the European Union's recent AI Act. Moreover, we consider whether AI itself can be a solution to these issues.

Source: BioLaw Journal - Rivista di BioDiritto

DOI: 10.15168/2284-4503-3310

Author: Piva, Laura

Language: English

Topic: Ethics and Social Impacts of AI

Subfield: Safety Research

Field: Social Sciences

Domain: Social Sciences

SDGs: Reduced inequalities, Gender equality, Good health and well-being, Peace, justice, and strong institutions

Open Access status: diamond

OpenAlex ID: W6961725630

FWCI:

Cites:

Cited by:

Related to: