Value alignment: a formal approach
Abstract
principles that should govern autonomous AI systems. It essentially states that a system's goals and behaviour should be aligned with human values. But how to ensure value alignment? In this paper we first provide a formal model to represent values through preferences and ways to compute value aggregations; i.e. preferences with respect to a group of agents and/or preferences with respect to sets of values. Value alignment is then defined, and computed, for a given norm with respect to a given value through the increase/decrease that it results in the preferences of future states of the world. We focus on norms as it is norms that govern behaviour, and as such, the alignment of a given system with a given value will be dictated by the norms the system follows.
Cite
@article{arxiv.2110.09240,
title = {Value alignment: a formal approach},
author = {Carles Sierra and Nardine Osman and Pablo Noriega and Jordi Sabater-Mir and Antoni Perelló},
journal= {arXiv preprint arXiv:2110.09240},
year = {2024}
}
Comments
accepted paper at the Responsible Artificial Intelligence Agents Workshop, of the 18th International Conference on Autonomous Agents and MultiAgent Systems (AAMAS 2019)