- Book Chapter
- 10.2174/9789815322316125010008
Unveiling the Impact: Societal Implications of Reinforcement Learning Algorithms
- Nov 26, 2025
- Heena Khanna + 2 more +2
In recent years, Reinforcement Learning (RL) algorithms have garnered significant attention for their ability to enable machines to learn and make decisions autonomously. However, amidst the excitement surrounding the potential applications of RL, it is imperative to critically examine the ethical and societal implications of these algorithms. This chapter delves into the multifaceted impact of RL on society, exploring issues such as autonomy, bias, privacy, and job displacement. Through a comprehensive analysis, it uncovers the complex interplay between technology and society, shedding light on the ethical dilemmas that arise in the deployment of RL algorithms. By unveiling the potential consequences and risks associated with RL, this chapter seeks to stimulate thoughtful discourse and inform decision-making processes aimed at fostering responsible innovation in the field of machine learning.
Read more