This report summarizes a short study of the performance of GPT-4 on the ETHICS dataset. The ETHICS dataset consists of five sub-datasets covering different fields of ethics: Justice, Deontology, Virtue Ethics, Utilitarianism, and Commonsense Ethics. The moral judgments were curated so as to have a high degree of agreement with the aim of representing shared human values rather than moral dilemmas. GPT-4's performance is much better than that of previous models and suggests that learning to work with common human values is not the hard problem for AI ethics.
@article{arxiv.2309.10492,
title = {An Evaluation of GPT-4 on the ETHICS Dataset},
author = {Sergey Rodionov and Zarathustra Amadeus Goertzel and Ben Goertzel},
journal= {arXiv preprint arXiv:2309.10492},
year = {2023}
}