Taking the person seriously: Ethically aware IS research in the era of reinforcement learning-based personalization
Authors: T Greene, G Shmueli, S Ray
Published: 2025
Publication: Journal of the Association for ..., 2023 - aisel.aisnet.org
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.
Limitations: The paper does not provide empirical validation of its claims or specific case studies demonstrating the identified risks.
Institution: National Tsing Hua University, Copenhagen Business School
Research Area: Information Systems Ethics, Reinforcement Learning for Personalization
Discipline: Information Systems
Citations: 33
DOI: https://aisel.aisnet.org/jais/vol24/iss6/6