Uncertain Machine Ethical Decisions Using Hypothetical Retrospection
원문 초록
We propose the use of the hypothetical retrospection argumentation procedure, developed by Sven Ove Hansson to improve existing approaches to machine ethical reasoning by accounting for probability and uncertainty from a position of Philosophy that resonates with humans. Actions are represented with a branching set of potential outcomes, each with a state, utility, and either a numeric or poetic probability estimate. Actions are chosen based on comparisons between sets of arguments favouring actions from the perspective of their branches, even those branches that led to an undesirable outcome. This use of arguments allows a variety of philosophical theories for ethical reasoning to be used, potentially in flexible combination with each other. We implement the procedure, applying consequentialist and deontological ethical theories, independently and concurrently, to an autonomous library system use case. We introduce a preliminary framework that seems to meet the varied requirements of a machine ethics system: versatility under multiple theories and a resonance with humans that enables transparency and explainability.
함께 살펴볼 논문
공통 태그를 근거로 연결했습니다. 실제 인용 관계나 논문의 우수성을 뜻하지 않습니다.
A History of Philosophy in Colombia through Topic Modelling
Decoding the Black Box: Integrating Moral Imagination with Technical AI Governance
Measure of Morality: A Mathematical Theory of Egalitarian Ethics
A Metasemantic-Metapragmatic Framework for Taxonomizing Multimodal Communicative Alignment
Value Imprint: A Technique for Auditing the Human Values Embedded in RLHF Datasets
Introduction to AI Safety, Ethics, and Society
토론
이 논문과 연결된 포럼 글이 아직 없습니다.