The Recommender System Paradox: Autonomy in the Age of AI Recommendations
Rahul Singh
Amazon (United States) Seattle University
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摘要与影响
This article delves into the intricacies of recommender systems, critically evaluating their profound impact on online user experiences. Amidst the ever-evolving landscape of AI, there are growing concerns about the ethical implications and unforeseen consequences of its widespread applications. By using recommender systems as a lens, this techno-philosophical article presents a detailed exploration, questioning whether such AI techniques truly enhance user experience or steer humanity towards a dystopian future with curtailed autonomy. The discussion on recommender systems serves as an illustrative example, shedding light on broader concerns in the field of AI.
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社会科学Ethics and Social Impacts of AI
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