Investigating the Intersections of Ethics and Artificial Intelligence in the Collections as Data Position Papers

This is the peer reviewed version of the following article: Osti, G., Cushing, A., & Little, S. (2023). Investigating the Intersections of Ethics and Artificial Intelligence in the Collections as Data Position Papers. Proceedings of the Association for Information Science and Technology, 60, 1092–1095 which has been published in final form at https://doi.org/10.1002/pra2.955. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions. This article may not be enhanced, enriched or otherwise transformed into a derivative work, without express permission from Wiley or by statutory rights under applicable legislation. Copyright notices must not be removed, obscured or modified. The article must be linked to Wiley’s version of record on Wiley Online Library and any embedding, framing or otherwise making available the article or pages thereof by third parties from platforms, services and websites other than Wiley Online Library must be prohibited.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-06-06
DOI
https://doi.org/10.5281/zenodo.15611707
Primary Topic
Research Data Management Practices
Type
article
Field-Weighted Citation Impact
0.00
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article

Investigating the Intersections of Ethics and Artificial Intelligence in the Collections as Data Position Papers

Zenodo (CERN European Organization for Nuclear Research)
Research Data Management Practices
article

Investigating the Intersections of Ethics and Artificial Intelligence in the Collections as Data Position Papers

article en

Abstract

This is the peer reviewed version of the following article: Osti, G., Cushing, A., & Little, S. (2023). Investigating the Intersections of Ethics and Artificial Intelligence in the Collections as Data Position Papers. Proceedings of the Association for Information Science and Technology, 60, 1092–1095 which has been published in final form at https://doi.org/10.1002/pra2.955. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions. This article may not be enhanced, enriched or otherwise transformed into a derivative work, without express permission from Wiley or by statutory rights under applicable legislation. Copyright notices must not be removed, obscured or modified. The article must be linked to Wiley’s version of record on Wiley Online Library and any embedding, framing or otherwise making available the article or pages thereof by third parties from platforms, services and websites other than Wiley Online Library must be prohibited.

Zenodo (CERN European Organization for Nuclear Research)
University College Dublin (IE), Dublin City University (IE)
Openalex Percentile: Top 43%
Research Data Management Practices
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