Functional Misalignment in Human-AI Interactions on Digital Platforms
arXiv:2604.11459v2 Announce Type: replace Abstract: Algorithmic systems, particularly social media recommenders, have achieved remarkable success in predicting behavior. By optimizing for observable signals such as clicks, views, and engagement, these systems effectively capture user attention and guide interaction. Yet their widespread adoption has coincided with troubling outcomes, including rising mental health concerns, increasing polarization, and erosion of trust. This paper argues that th
Record details
Published: 6 August 2026
Source: arXiv cs.CY
Category: Research
Topics: Safety & alignment · Healthcare
Retrieved: 6 August 2026
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ethics.ai (6 August 2026), “Functional Misalignment in Human-AI Interactions on Digital Platforms,” evidence record 16646, https://ethics.ai/record/16646 (originally published by arXiv cs.CY).
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