Large Language Models Cannot Explain Themselves

Fuente: arXiv
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Auteur principal: Sarkar, Advait
Format: Preprint
Publié: 2024
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author Sarkar, Advait
author_facet Sarkar, Advait
contents Large language models can be prompted to produce text. They can also be prompted to produce "explanations" of their output. But these are not really explanations, because they do not accurately reflect the mechanical process underlying the prediction. The illusion that they reflect the reasoning process can result in significant harms. These "explanations" can be valuable, but for promoting critical thinking rather than for understanding the model. I propose a recontextualisation of these "explanations", using the term "exoplanations" to draw attention to their exogenous nature. I discuss some implications for design and technology, such as the inclusion of appropriate guardrails and responses when models are prompted to generate explanations.
format Preprint
id arxiv_https___arxiv_org_abs_2405_04382
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Large Language Models Cannot Explain Themselves
Sarkar, Advait
Human-Computer Interaction
Large language models can be prompted to produce text. They can also be prompted to produce "explanations" of their output. But these are not really explanations, because they do not accurately reflect the mechanical process underlying the prediction. The illusion that they reflect the reasoning process can result in significant harms. These "explanations" can be valuable, but for promoting critical thinking rather than for understanding the model. I propose a recontextualisation of these "explanations", using the term "exoplanations" to draw attention to their exogenous nature. I discuss some implications for design and technology, such as the inclusion of appropriate guardrails and responses when models are prompted to generate explanations.
title Large Language Models Cannot Explain Themselves
topic Human-Computer Interaction
url https://arxiv.org/abs/2405.04382