Reproducibility and explainability in digital humanities

Author:

Ries Thorsten,van Dalen-Oskam Karina,Offert Fabian

Publisher

Springer Science and Business Media LLC

Reference45 articles.

1. Agre, P. E. (2000). The soul gained and lost: Artificial intelligence as a philosophical project. In: Ronald Chrisley (Ed): Artificial Intelligence Critical Concepts, 4, 64–84. London & New York, Routledge

2. Algee-Hewitt, M. A., Bode, K., Brouillette, S., Finn, E., Klein, L., Long, H., et al. Computational Literary Studies: A Critical Inquiry Online Forum. Critical Inquiry 2019. Available from: https://critinq.wordpress.com/2019/03/31/computational-literary-studies-a-critical-inquiry-online-forum/.

3. Arnold, T, & Buell, D. More Responses to The Computational Case against Computational Literary Studies. Critical Inquiry 2019. Available from: https://critinq.wordpress.com/2019/04/12/more-responses-to-the-computational-case-against-computational-literary-studies/.

4. Blanke, T., Venturini, T., & Pryck, K. D. (2023). A Peek Inside Two Black Boxes - An Experiment with Explainable Artificial Intelligence and IPCC Leadership. International Journal of Digital Humanities. Special issue: Reproducibility and Explainability in Digital Humanities (Online Collection). https://doi.org/10.1007/s42803-023-00080-z

5. Bode, K. Why You Can’t Model Away Bias. Modern Language Quarterly. 2020 03;81(1):95–124. https://doi.org/10.1215/00267929-7933102. https://read.dukeupress.edu/modern-language-quarterly/article-pdf/81/1/95/1567705/95bode.pdf.

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