A Voting-Based System for Ethical Decision Making

Ritesh Noothigattu, Snehalkumar (Neil) S. Gaikwad, Edmond Awad, Sohan Dsouza, Iyad Rahwan, Pradeep Ravikumar, Ariel D. Procaccia

AAAI 2018 pp. 1587-1594

doi:10.1609/AAAI.V32I1.11512 /aaai/2018/noothigattu2018aaai-voting/

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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Text

Noothigattu et al. "A Voting-Based System for Ethical Decision Making." AAAI Conference on Artificial Intelligence, 2018. doi:10.1609/AAAI.V32I1.11512

Markdown

[Noothigattu et al. "A Voting-Based System for Ethical Decision Making." AAAI Conference on Artificial Intelligence, 2018.](https://mlanthology.org/aaai/2018/noothigattu2018aaai-voting/) doi:10.1609/AAAI.V32I1.11512

BibTeX

@inproceedings{noothigattu2018aaai-voting,
  title     = {{A Voting-Based System for Ethical Decision Making}},
  author    = {Noothigattu, Ritesh and Gaikwad, Snehalkumar (Neil) S. and Awad, Edmond and Dsouza, Sohan and Rahwan, Iyad and Ravikumar, Pradeep and Procaccia, Ariel D.},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2018},
  pages     = {1587-1594},
  doi       = {10.1609/AAAI.V32I1.11512},
  url       = {https://mlanthology.org/aaai/2018/noothigattu2018aaai-voting/}
}