The moral authority of ChatGPT
Not on the map. Why?
Abstract (arXiv)
ChatGPT is not only fun to chat with, but it also searches information, answers questions, and gives advice. With consistent moral advice, it might improve the moral judgment and decisions of users, who often hold contradictory moral beliefs. Unfortunately, ChatGPT turns out highly inconsistent as a moral advisor. Nonetheless, it influences users' moral judgment, we find in an experiment, even if they know they are advised by a chatting bot, and they underestimate how much they are influenced. Thus, ChatGPT threatens to corrupt rather than improves users' judgment. These findings raise the question of how to ensure the responsible use of ChatGPT and similar AI. Transparency is often touted but seems ineffective. We propose training to improve digital literacy.
Key facts. Cited by 11 papers in the map (data through 7 Oct 2026). Builds on 1 of its 17 references that are in the map. First posted on arXiv 13 Jan 2023.
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1 of 17 references.
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Citing papers per year: 2023: 8; 2024: 2; 2025: 0; 2026: 1.
11 papers.
- 2023A Categorical Archive of ChatGPT Failurescited by 167
- 2023Summary of ChatGPT-Related Research and Perspective Towards the Future of Large Language Modelscited by 152
- 2023Evaluating ChatGPT's Information Extraction Capabilities: An Assessment of Performance, Explainability, Calibration, and Faithfulnesscited by 130
- 2023A Systematic Study and Comprehensive Evaluation of ChatGPT on Benchmark Datasetscited by 123
- 2023An Empirical Study on Information Extraction using Large Language Modelscited by 46
- 2023Primacy Effect of ChatGPTcited by 27
- 2023Are Chatbots Ready for Privacy-Sensitive Applications? An Investigation into Input Regurgitation and Prompt-Induced Sanitizationcited by 17
- 2023Ethical ChatGPT: Concerns, Challenges, and Commandmentscited by 13
- 2026Evaluating ChatGPT on Medical Information Extraction Tasks: Performance, Explainability and Beyondcited by 1
- 2024Advancing AI with Integrity: Ethical Challenges and Solutions in Neural Machine Translationcited by 0
- 2024How much reliable is ChatGPT's prediction on Information Extraction under Input Perturbations?cited by 0
- 2026Evaluating ChatGPT on Medical Information Extraction Tasks: Performance, Explainability and Beyond29 Jan 2026
- 2024How much reliable is ChatGPT's prediction on Information Extraction under Input Perturbations?7 Apr 2024
- 2024Advancing AI with Integrity: Ethical Challenges and Solutions in Neural Machine Translation1 Apr 2024
- 2023Primacy Effect of ChatGPT20 Oct 2023
- 2023A Systematic Study and Comprehensive Evaluation of ChatGPT on Benchmark Datasets29 May 2023
- 2023Are Chatbots Ready for Privacy-Sensitive Applications? An Investigation into Input Regurgitation and Prompt-Induced Sanitization24 May 2023
- 2023An Empirical Study on Information Extraction using Large Language Models23 May 2023
- 2023Ethical ChatGPT: Concerns, Challenges, and Commandments18 May 2023
- 2023Evaluating ChatGPT's Information Extraction Capabilities: An Assessment of Performance, Explainability, Calibration, and Faithfulness23 Apr 2023
- 2023Summary of ChatGPT-Related Research and Perspective Towards the Future of Large Language Models4 Apr 2023
- 2023A Categorical Archive of ChatGPT Failures6 Feb 2023