Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Tennant, Elizaveta"'
Decision-making agents based on pre-trained Large Language Models (LLMs) are increasingly being deployed across various domains of human activity. While their applications are currently rather specialized, several research efforts are under way to de
Externí odkaz:
http://arxiv.org/abs/2410.01639
Publikováno v:
Proceedings of the 7th AAAI/ACM Conference on AI, Ethics, and Society (AIES), vol. 7, (2024), pp 1444-1454.
Growing concerns about safety and alignment of AI systems highlight the importance of embedding moral capabilities in artificial agents: a promising solution is the use of learning from experience, i.e., Reinforcement Learning. In multi-agent (social
Externí odkaz:
http://arxiv.org/abs/2403.04202
Increasing interest in ensuring safety of next-generation Artificial Intelligence (AI) systems calls for novel approaches to embedding morality into autonomous agents. Traditionally, this has been done by imposing explicit top-down rules or hard cons
Externí odkaz:
http://arxiv.org/abs/2312.01818
Practical uses of Artificial Intelligence (AI) in the real world have demonstrated the importance of embedding moral choices into intelligent agents. They have also highlighted that defining top-down ethical constraints on AI according to any one typ
Externí odkaz:
http://arxiv.org/abs/2301.08491