An Ethical Reflection Aid for Responsible AI in Computational Archival Science

Sara Mannheimer, Jason A. Clark, Scott W.H. Young, Bonnie Sheehey, Natalie Bond, Doralyn Rossmann, Hannah Scates Kettler, Yasmeen Shorish

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

AI implementations continue to grow in cultural heritage settings and have deep connections to how computational archival science is conducted. This paper reviews how AI is being implemented in computational archival science. It then provides an overview of ethical issues and considerations when implementing AI for computational archival science. Our research team has developed an evidence-based ethical reflection aid to guide library and archives practitioners through responsible implementations of AI. When using the ethical reflection aid practitioners consider a specific AI implementation scenario, consider how the different values held by different stakeholders may align or come into conflict, and outline potential actions for responsible AI. We present an example of using the ethical reflection aid to examine a scenario related to computational archival science. Ultimately, this paper suggests that careful examination of stakeholder values can support a more responsible computational archival science practice.

Original languageEnglish
Title of host publicationProceedings - 2024 IEEE International Conference on Big Data, BigData 2024
EditorsWei Ding, Chang-Tien Lu, Fusheng Wang, Liping Di, Kesheng Wu, Jun Huan, Raghu Nambiar, Jundong Li, Filip Ilievski, Ricardo Baeza-Yates, Xiaohua Hu
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2464-2469
Number of pages6
ISBN (Electronic)9798350362480
DOIs
StatePublished - 2024
Event2024 IEEE International Conference on Big Data, BigData 2024 - Washington, United States
Duration: Dec 15 2024Dec 18 2024

Publication series

NameProceedings - 2024 IEEE International Conference on Big Data, BigData 2024

Conference

Conference2024 IEEE International Conference on Big Data, BigData 2024
Country/TerritoryUnited States
CityWashington
Period12/15/2412/18/24

Keywords

  • archives
  • ethical reflection
  • libraries
  • responsible AI
  • technology ethics

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