Philosophical Perspectives on Recommender Systems: Ethical Implications, Biases, and Their Impact on Autonomy and Privacy

Authors

  • Anastasiia Klimashevskaia MediaFutures, University of Bergen

Keywords:

Recommender Systems, Personalization, Decision Making, Bias, Fairness

Abstract

Recommender Systems (RSs) assist users in navigating overwhelming amounts of digital information by offering personalized suggestions. While invaluable, these systems raise concerns about biases, fairness, as well as user privacy and autonomy. This work examines these issues, highlighting both the benefits and risks, and calls for strategies to mitigate potential harms.

Downloads

Download data is not yet available.

Downloads

Published

2024-11-24

How to Cite

[1]
A. Klimashevskaia, “Philosophical Perspectives on Recommender Systems: Ethical Implications, Biases, and Their Impact on Autonomy and Privacy”, NIKT, no. 1, Nov. 2024.