A Voting-Based System for Ethical Decision Making

Authors

  • Ritesh Noothigattu Carnegie Mellon University
  • Snehalkumar Gaikwad Massachusetts Institute of Technology
  • Edmond Awad Massachusetts Institute of Technology
  • Sohan Dsouza Massachusetts Institute of Technology
  • Iyad Rahwan Massachusetts Institute of Technology
  • Pradeep Ravikumar Carnegie Mellon University
  • Ariel Procaccia Carnegie Mellon University

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.

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Published

2018-04-25

How to Cite

Noothigattu, R., Gaikwad, S., Awad, E., Dsouza, S., Rahwan, I., Ravikumar, P., & Procaccia, A. (2018). A Voting-Based System for Ethical Decision Making. Proceedings of the AAAI Conference on Artificial Intelligence, 32(1). Retrieved from https://ojs.aaai.org/index.php/AAAI/article/view/11512

Issue

Section

AAAI Technical Track: Human-Computation and Crowd Sourcing