#vulnerable-populations News & Analysis

2 articles tagged with #vulnerable-populations. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

2 articles

AIBearisharXiv – CS AI · May 287/10

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The Illusion of Opting in AI-Mediated Consequential Decisions

A new academic framework argues that AI systems create an 'illusion of opting'—where users appear to have meaningful choice while their actual decision-making agency is systematically weakened. The research proposes three normative imperatives (existential honesty, ecological rationality, and counterfactual reparation) to protect human agency in AI-mediated consequential decisions, particularly for vulnerable populations.

AINeutralarXiv – CS AI · Apr 206/10

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From Vulnerable Data Subjects to Vulnerabilizing Data Practices: Navigating the Protection Paradox in AI-Based Analyses of Platformized Lives

This academic paper examines how AI and data science practices can paradoxically increase vulnerability of subjects they aim to protect, using a case study of computer vision analysis of children in monetized YouTube content. The authors develop an ethics protocol identifying four critical decision points—dataset design, operationalization, inference, and dissemination—where technical choices create vulnerabilizing factors including exposure, monetization, narrative fixing, and algorithmic optimization.