Machine Learning

A Computational Model of Commonsense Moral Decision Making

Tagged: ,

This topic contains 0 replies, has 1 voice, and was last updated by  arXiv 1 year, 6 months ago.


  • arXiv
    5 pts

    A Computational Model of Commonsense Moral Decision Making

    We introduce a new computational model of moral decision making, drawing on a recent theory of commonsense moral learning via social dynamics. Our model describes moral dilemmas as a utility function that computes trade-offs in values over abstract moral dimensions, which provide interpretable parameter values when implemented in machine-led ethical decision-making. Moreover, characterizing the social structures of individuals and groups as a hierarchical Bayesian model, we show that a useful description of an individual’s moral values – as well as a group’s shared values – can be inferred from a limited amount of observed data. Finally, we apply and evaluate our approach to data from the Moral Machine, a web application that collects human judgments on moral dilemmas involving autonomous vehicles.

    A Computational Model of Commonsense Moral Decision Making
    by Richard Kim, Max Kleiman-Weiner, Andres Abeliuk, Edmond Awad, Sohan Dsouza, Josh Tenenbaum, Iyad Rahwan
    https://arxiv.org/pdf/1801.04346v1.pdf

You must be logged in to reply to this topic.