Queer-Responsive Regulation for Artificial Intelligence in Healthcare: A Comparative Study

This article employs a queer theoretical framework to analyse algorithmic discrimination in healthcare-related artificial intelligence, with particular attention to the biases affecting sexual and gender minorities. It offers a comparative analysis of three regulatory models: principle-based; technical-oriented; and sociotechnical-oriented, by examining the European Union Artificial Intelligence (‘AI’) Act, the Council of Europe Framework Convention on AI, and the Brazilian AI Bill. This article argues for a queer-responsive regulatory approach capable of addressing biases embedded in AI systems and promoting more inclusive and equitable healthcare technologies.