… societal implications of one avenue of AI research currently showing promise: Deep
Reinforcement … working on the ethical, societal and governance implications of AI, but may also be …

… An implication is that deep learning may not be the best model for some problems. There
are model parameters, and hyperparameters for model capacity and regularization. Cross-…

… social effects of RLHF; to identify key social and ethical issues of RLHF; and to discuss social
… it is crucial to consider when evaluating its social implications the diverse range of areas to …

… , multi-agent reinforcement learning, and explainable reinforcement learning. We also … of
the ethical and societal implications of DRL. Index Terms—Deep Reinforcement Learning, DRL, …

… be used to impact human social factors is important to prevent … Thus, developing MARL for
social factors in climate change … discussion on the social implications of MARL deployment. …

… Returning to the implications of deep reinforcement learning for personalization, framing …
Regarding the normative and social implications of reinforcement learning, we believe the …

… implications of AGI in more detail. We discussed the potential benefits and risks of AGI, and
we will argue that it is important to start thinking about these implications now, … , reinforcement …

… Findings can have far reaching implications for future research. First, we extend the use of
Reinforcement Learning to the driving assistance systems domain, as well as to behavioral …

… social security reform. A change in employment can influence the financial sustainability of
a social security scheme, which makes analysis of the implications of a social security reform …

… domains with societal, ethical, and safety implications. Work in … for XAI in the area of
Reinforcement Learning (RL). From 520 … XAI research in the context of Machine Learning and …