Authors: Jon Chun, Katherine Elkins

Published on: January 09, 2024

Impact Score: 8.35

Arxiv code: Arxiv:2402.01651

Summary

• What is new: This paper uniquely probes the morality and trustworthiness of AI by testing Large Language Models (LLMs) with ethical dilemmas.
• Why this is important: The need for AI to perform ethically in decision-making roles, necessitating an audit of its moral reasoning capabilities.
• What the research proposes: Conducting an ethics-based audit of 8 leading LLMs, including GPT-4, using ethical dilemmas to test alignment with human values.
• Results: GPT-4 showed a sophisticated ethical framework, but many models displayed biases towards certain cultural norms and authoritarian tendencies.

Technical Details

Technological frameworks used: Experimental, evidence-based approach for ethics audit

Models used: Large Language Models (LLMs) including GPT-4

Data used: Ethical dilemmas designed to test normative values and decision-making

Potential Impact

AI safety and regulation industries, companies developing or deploying LLMs in decision-making roles

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