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Relational accountability in AI-driven pharmaceutical practices: an ethics approach to bias, inequity and structural harm.
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The integration of artificial intelligence (AI) into pharmaceutical practices raises critical ethical concerns, including algorithmic bias, data commodification and global health inequities. While existing AI ethics frameworks emphasise transparency and fairness, they often overlook structural vulnerabilities tied to race, gender and socioeconomic status. This paper introduces relational accountability-a feminist ethics framework-to critique AI-driven pharmaceutical practices, arguing that corporate reliance on biased algorithms exacerbates inequalities by design.
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