A Voting-Based System for Ethical Decision Making

2017/09/20 by Ritesh Noothigattu, Snehalkumar 'Neil' S. Gaikwad, Noothigattu, Ritesh +11 · 1 voice · 9 citations
Computer Science · #Artificial Intelligence (cs.AI) #Computer Science and Game Theory (cs.GT) #Computers and Society (cs.CY) #FOS: Computer and information sciences #cs.AI #cs.CY #cs.GT

paper · pdf · doi:10.48550/arxiv.1709.06692

arxiv published 2017/09/20 · arxiv updated 2018/12/18

Abstract

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.

Cited by

• AI of the People, by the People, for the People: A Social Choice Approach to Collective Control of Artificial Intelligence
• Coordination Requires Simplification: Thermodynamic Bounds on Multi-Objective Compromise in Natural and Artificial Intelligence
• Towards Cognitively-Faithful Decision-Making Models to Improve AI Alignment
• From Semantic Web and MAS to Agentic AI: A Unified Narrative of the Web of Agents
• On Monotonicity in AI Alignment
• Generalizing while preserving monotonicity in comparison-based preference learning models
• Weighted Assumption Based Argumentation to reason about ethical principles and actions
• The Staircase of Ethics: Probing LLM Value Priorities through Multi-Step Induction to Complex Moral Dilemmas
• Survival Games: Human-LLM Strategic Showdowns under Severe Resource Scarcity

Discussions

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