[SydPhil] HPS Research Seminar - Dr Julia Haas - MORAL GRIDWORLDS

[Debbie Castle]

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SCHOOL OF HISTORY AND PHILOSOPHY OF SCIENCE
IN CONJUNCTION WITH THE
SYDNEY CENTRE FOR THE FOUNDATIONS OF SCIENCE
PRESENTS
SEMESTER TWO 2019 RESEARCH SEMINAR SERIES


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Julia Haas
Research Fellow
School of Philosophy, Research School of Social Sciences
The Australian National University
MORAL GRIDWORLDS
The nascent field of moral AI asks how best to ensure that artificially intelligent (AI) systems instantiate and promote human moral norms and values. A growing number of proposals have suggested that the best way to achieve this objective is by developing artificial moral cognition, that is, artificial systems that recognize and respond to situations of moral significance. However, extant approaches involve building sophisticated cognitive architectures into these artificial systems, resulting in intractable frameworks. I present a new technical framework for modeling artificial moral cognition. Specifically, I propose to use reinforcement learning-based environments that teach artificial systems to learn, value, and respond to moral content and contexts. To illustrate the view, I describe a basic “moral gridworld,” designed to model the moral cognitive capacity of fairness, here quantified in terms of the Ultimatum Game. I then discuss a suite of variations that can be introduced into the gridworld to represent a range of moral cognitive features, including cross-cultural variability and the simulation of signature moral dilemmas.
WHEN: MONDAY 21ST OCTOBER
FROM: 5.30PM
WHERE: F23 LEVEL 5 FUNCTION ROOM
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