Detecting Introspective Errors in Consciousness Science

Detecting introspective errors about consciousness presents challenges that are widely supposed to be difficult, if not impossible, to overcome. This is a problem for consciousness science because many central questions turn on when and to what extent we should trust subjects’ introspective reports....

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Main Author: Andy McKilliam
Format: Article
Language:English
Published: Michigan Publishing 2025-04-01
Series:Ergo, An Open Access Journal of Philosophy
Online Access:https://journals.publishing.umich.edu/ergo/article/id/7304/
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author Andy McKilliam
author_facet Andy McKilliam
author_sort Andy McKilliam
collection DOAJ
description Detecting introspective errors about consciousness presents challenges that are widely supposed to be difficult, if not impossible, to overcome. This is a problem for consciousness science because many central questions turn on when and to what extent we should trust subjects’ introspective reports. This has led some authors to suggest that we should abandon introspection as a source of evidence when constructing a science of consciousness. Others have concluded that central questions in consciousness science cannot be answered via empirical investigation. I argue that on closer inspection, the challenges associated with detecting introspective errors can be overcome. I demonstrate how natural kind reasoning—the iterative application of inference to the best explanation to home in on and leverage regularities in nature—can allow us to detect introspective errors even in difficult cases such as judgments about mental imagery, and I conclude that worries about intractable methodological challenges in consciousness science are misguided.
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series Ergo, An Open Access Journal of Philosophy
spelling doaj-art-e311df47a41143f6afb94f60dbb58c2f2025-08-20T01:53:57ZengMichigan PublishingErgo, An Open Access Journal of Philosophy2330-40142025-04-0112010.3998/ergo.7304Detecting Introspective Errors in Consciousness ScienceAndy McKilliam0Center for Traditional and Scientific Metaphysics, Department of Philosophy; Monash Centre for Consciousness and Contemplative Studies, National Taiwan University; Monash UniversityDetecting introspective errors about consciousness presents challenges that are widely supposed to be difficult, if not impossible, to overcome. This is a problem for consciousness science because many central questions turn on when and to what extent we should trust subjects’ introspective reports. This has led some authors to suggest that we should abandon introspection as a source of evidence when constructing a science of consciousness. Others have concluded that central questions in consciousness science cannot be answered via empirical investigation. I argue that on closer inspection, the challenges associated with detecting introspective errors can be overcome. I demonstrate how natural kind reasoning—the iterative application of inference to the best explanation to home in on and leverage regularities in nature—can allow us to detect introspective errors even in difficult cases such as judgments about mental imagery, and I conclude that worries about intractable methodological challenges in consciousness science are misguided.https://journals.publishing.umich.edu/ergo/article/id/7304/
spellingShingle Andy McKilliam
Detecting Introspective Errors in Consciousness Science
Ergo, An Open Access Journal of Philosophy
title Detecting Introspective Errors in Consciousness Science
title_full Detecting Introspective Errors in Consciousness Science
title_fullStr Detecting Introspective Errors in Consciousness Science
title_full_unstemmed Detecting Introspective Errors in Consciousness Science
title_short Detecting Introspective Errors in Consciousness Science
title_sort detecting introspective errors in consciousness science
url https://journals.publishing.umich.edu/ergo/article/id/7304/
work_keys_str_mv AT andymckilliam detectingintrospectiveerrorsinconsciousnessscience