Logic Programming and Machine Ethics
Transparency is a key requirement for ethical machines. Verified ethical behavior is not enough to establish justified trust in autonomous intelligent agents: it needs to be supported by the ability to explain decisions. Logic Programming (LP) has a great potential for developing such perspective ethical systems, as in fact logic rules are easily comprehensible by humans. Furthermore, LP is able to model causality, which is crucial for ethical decision making.
Code (0)
등록된 구현이 없습니다.
Tasks
Decision MakingEthicsSimilar Papers 제목 키워드 기반
Proceedings 39th International Conference on Logic Programming
This volume contains the Technical Communications presented at the 39th International Conference on Logic Programming (ICLP 2023), held at Imperial College London, UK from July 9 to July 15, 2023. Technical Communication…
EthicsToward the Engineering of Virtuous Machines
While various traditions under the 'virtue ethics' umbrella have been studied extensively and advocated by ethicists, it has not been clear that there exists a version of virtue ethics rigorous enough to be a target for …
EthicsFormal LogicAction Languages Based Actual Causality for Computational Ethics: a Sound and Complete Implementation in ASP
Although moral responsibility is not circumscribed by causality, they are both closely intermixed. Furthermore, rationally understanding the evolution of the physical world is inherently linked with the idea of causality…
Decision MakingEthicsFormalizing Kantian Ethics: Formula of the Universal Law Logic (FULL)
The field of machine ethics aims to build Artificial Moral Agents (AMAs) to better understand morality and make AI agents safer. To do so, many approaches encode human moral intuition as a set of axioms on actions e.g., …
Reinforcement Learning and Machine ethics:a systematic review
Machine ethics is the field that studies how ethical behaviour can be accomplished by autonomous systems. While there exist some systematic reviews aiming to consolidate the state of the art in machine ethics prior to 20…
Ethicsreinforcement-learningReinforcement Learning