Original scientific paper
https://doi.org/10.52685/cjp.26.76.3
Large Language Models versus Fuzzy Cognitive Maps for Solving Moral Dilemmas
Lukas J. Meier
orcid.org/0000-0002-3316-3928
; Harvard University, Cambridge, USA
Abstract
Which is better at doing medical ethics: conversational artificial intel- ligence bots like ChatGPT or tools based on fuzzy cognitive maps? The article compares the performance of chatbots that rely on large language models to that of our own METHAD algorithm. While both tools ap- proach dilemmas in medical ethics through the lens of Beauchamp and Childress’ mid-level principles, ChatGPT and METHAD differ consider- ably in the format of their inputs and outputs, in their interpretability, and in the kinds of mistakes that they make. An ideal advisory algo- rithm would combine their characteristics.
Keywords
Artificial intelligence; ChatGPT; decision-making; ethics consultation; generative AI; large language models; METHAD; principlism.
Hrčak ID:
345570
URI
Publication date:
19.3.2026.
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