A Voting-Based System for Ethical Decision Making

被引：0

作者：

Noothigattu, Ritesh ^{[1
]}

Gaikwad, Snehalkumar 'Neil' S. ^{[2
]}

Awad, Edmond ^{[2
]}

Dsouza, Sohan ^{[2
]}

Rahwan, Iyad ^{[2
]}

Ravikumar, Pradeep ^{[3
]}

Procaccia, Ariel D. ^{[4
]}

机构：

[1] Carnegie Mellon Univ, Machine Learning Dept, Pittsburgh, PA 15213 USA

[2] MIT, Media Lab, Cambridge, MA 02139 USA

[3] CMU, Machine Learning Dept, Pittsburgh, PA USA

[4] CMU, Comp Sci Dept, Pittsburgh, PA USA

来源：

THIRTY-SECOND AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTIETH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE / EIGHTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE | 2018年

基金：

美国国家科学基金会;

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

We present a general approach to automating ethical decisions, drawing on machine learning and computational social choice. In a nutshell, we propose to learn a model of societal preferences, and, when faced with a specific ethical dilemma at runtime, efficiently aggregate those preferences to identify a desirable choice. We provide a concrete algorithm that instantiates our approach; some of its crucial steps are informed by a new theory of swap-dominance efficient voting rules. Finally, we implement and evaluate a system for ethical decision making in the autonomous vehicle domain, using preference data collected from 1.3 million people through the Moral Machine website.

引用

页码：1587 / 1594

页数：8

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