Reflections on Reflection in Humanities and AI

Keynote lecture presented on 24 September 2025 at International ConferenceAI for SCIENCE 2025 University of Ljubljana,Faculty of Computer and Information ScienceLjubljana, Slovenia Reflections on Reflection in Humanities and AI The fields of Computer Science and Humanities operate in different ways: different research methods, different publication cultures, and different perspectives. But with interdisciplinary collaborations, projects, and teams, the use of computational methods is becoming more widespread in humanities use cases. As many archives have been and are still being digitised, automatic analysis methods are a necessity. However, historical texts present computational analyses with many different challenges such as digitisation artefacts, segmentation, language evolution, and changing societal values and large generic models are often not optimised for this domain resulting in suboptimal performance. In this talk, I will argue that combining the skills of humanities scholars with AI is beneficial to both fields: humanities scholars can benefit from new tooling to deal with big data in their domain, and AI researchers can benefit from the humanities’ long tradition of source and tool criticism.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-09-26
DOI
https://doi.org/10.5281/zenodo.17208273
Primary Topic
Global Energy and Sustainability Research
Type
article
Field-Weighted Citation Impact
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Reflections on Reflection in Humanities and AI

Zenodo (CERN European Organization for Nuclear Research)
Global Energy and Sustainability Research
article

Reflections on Reflection in Humanities and AI

article en

Abstract

Keynote lecture presented on 24 September 2025 at International ConferenceAI for SCIENCE 2025 University of Ljubljana,Faculty of Computer and Information ScienceLjubljana, Slovenia Reflections on Reflection in Humanities and AI The fields of Computer Science and Humanities operate in different ways: different research methods, different publication cultures, and different perspectives. But with interdisciplinary collaborations, projects, and teams, the use of computational methods is becoming more widespread in humanities use cases. As many archives have been and are still being digitised, automatic analysis methods are a necessity. However, historical texts present computational analyses with many different challenges such as digitisation artefacts, segmentation, language evolution, and changing societal values and large generic models are often not optimised for this domain resulting in suboptimal performance. In this talk, I will argue that combining the skills of humanities scholars with AI is beneficial to both fields: humanities scholars can benefit from new tooling to deal with big data in their domain, and AI researchers can benefit from the humanities’ long tradition of source and tool criticism.

Zenodo (CERN European Organization for Nuclear Research)
Quality Education
Openalex Percentile: Top 64%
Global Energy and Sustainability Research
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