Reinforcement Learning For Personalization Papers

Discover 1 peer-reviewed study in Reinforcement Learning For Personalization (2025). Explore research findings powered by Prolific's diverse participant panel.

This page lists 1 peer-reviewed paper in the research area of Reinforcement Learning For Personalization in the Prolific Citations Library, a curated collection of research powered by high-quality human data from Prolific.

Papers (1 of 1)

Taking the person seriously: Ethically aware IS research in the era of reinforcement learning-based personalization

Authors: T Greene, G Shmueli, S Ray

Year: 2025

Published in: Journal of the Association for ..., 2023 - aisel.aisnet.org

Institution: National Tsing Hua University, Copenhagen Business School

Research Area: Information Systems Ethics, Reinforcement Learning for Personalization

Discipline: Information Systems

The paper examines the ethical risks of reinforcement learning-based personalization and proposes three research directions for IS scholars to address its societal implications and inadequacies in existing regulations.

Methods: The study presents a conceptual analysis of emergent features and societal risks associated with reinforcement learning-based personalization and proposes research directions.

Key Findings: Potential harms of reinforcement learning-based personalization, such as reduced autonomy, social and political destabilization, and mass surveillance, alongside the limitations of current data protection laws.

DOI: https://aisel.aisnet.org/jais/vol24/iss6/6

Citations: 33