An Evaluation of GPT-4 on the ETHICS Dataset

19 Sep 2023 · 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.

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Absolute Position Encodings • Adam • BPE • Dense Connections • Dropout • GPT-4 • Label Smoothing • Layer Normalization • Linear Layer • Multi-Head Attention • Position-Wise Feed-Forward Layer • Residual Connection • Scaled Dot-Product Attention • Softmax • Transformer

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An Evaluation of GPT-4 on the ETHICS Dataset

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