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Monday, June 10, 2024

Attributions toward artificial agents in a modified Moral Turing Test

Aharoni, E., Fernandes, S., Brady, D.J. et al.
Sci Rep 14, 8458 (2024).

Abstract

Advances in artificial intelligence (AI) raise important questions about whether people view moral evaluations by AI systems similarly to human-generated moral evaluations. We conducted a modified Moral Turing Test (m-MTT), inspired by Allen et al. (Exp Theor Artif Intell 352:24–28, 2004) proposal, by asking people to distinguish real human moral evaluations from those made by a popular advanced AI language model: GPT-4. A representative sample of 299 U.S. adults first rated the quality of moral evaluations when blinded to their source. Remarkably, they rated the AI’s moral reasoning as superior in quality to humans’ along almost all dimensions, including virtuousness, intelligence, and trustworthiness, consistent with passing what Allen and colleagues call the comparative MTT. Next, when tasked with identifying the source of each evaluation (human or computer), people performed significantly above chance levels. Although the AI did not pass this test, this was not because of its inferior moral reasoning but, potentially, its perceived superiority, among other possible explanations. The emergence of language models capable of producing moral responses perceived as superior in quality to humans’ raises concerns that people may uncritically accept potentially harmful moral guidance from AI. This possibility highlights the need for safeguards around generative language models in matters of morality.

Here is my summary:

The researchers conducted a modified Moral Turing Test (m-MTT) to investigate if people view moral evaluations by advanced AI systems similarly to those by humans. They had participants rate the quality of moral reasoning from the AI language model GPT-4 and from humans, while initially blinded to the source.

Key Findings
  • Remarkably, participants rated GPT-4's moral reasoning as superior in quality to humans' across dimensions like virtuousness, intelligence, and trustworthiness. This is consistent with passing the "comparative MTT" proposed previously.
  • When later asked to identify if the moral evaluations came from a human or computer, participants performed above chance levels.
  • However, GPT-4 did not definitively "pass" this test, potentially because its perceived superiority made it identifiable as AI.