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Challenges in Data Preservation for AI and ML Systems

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2024

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Gesellschaft für Informatik e.V.

Zusammenfassung

The management and preservation of machine learning (ML) and artificial intelligence (AI) data is increasingly a concern for research institutions, as well as for institutions and industry organisations making use of this type of data and method. This paper summarises key issues in this area, presenting the case that there are significant benefits to the industry in developing best practices and joint standards in this area, and identifying the benefits of this approach, as well as highlighting risks and a current paucity of best practice in the area.

Beschreibung

Tonkin, Emma L.; Tourte, Gregory J. L. (2024): Challenges in Data Preservation for AI and ML Systems. INFORMATIK 2024. DOI: 10.18420/inf2024_38. Bonn: Gesellschaft für Informatik e.V.. PISSN: 1617-5468. ISBN: 978-3-88579-746-3. pp. 511-522. 8th International Workshop on Annotation of useR Data for UbiquitOUs Systems. Wiesbaden. 24.-26. September 2024

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