An Evaluation of GPT-4 on the ETHICS Dataset
Sergey Rodionov Zarathustra Amadeus Goertzel Ben Goertzel
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.