“Hello ELSA, how are you?”
Legal and Ethical Challenges in RDM, Current and Future Tasks of ELSA Activities Against the Background of AI and Anonymisation
Keywords:NFDI section, legal aspects, anonymisation, artificial intelligence, language models
The proposed contribution will shed light on current and future challenges on legal and ethical questions in research data infrastructures. The authors of the proposal will present the work of NFDI’s section on Ethical, Legal and Social Aspects (hereinafter: ELSA), whose aim is to facilitate cross-disciplinary cooperation between the NFDI consortia in the relevant areas of management and re-use of research data.
Anna C. Haber, Ulrich Sax, Fabian Prasser, “Open tools for quantitative anonymiza-tion of tabular phenotype data: literature review”, Briefings in Bioinformatics, Vol. 23, Issue 6, November 2022, bbac440, DOI: https://doi.org/10.1093/bib/bbac440.
Strathern et al., “QualiAnon - a Tool for anonymizing text data”, Link: https://mediatum.ub.tum.de/doc/1575928/0hbkir8u5zldk4g2aw8icmnzo.TechReport_ws1.pdf.
Paweł Kamocki and Andreas Witt, “Ethical Issues in Language Resources and Language Technology – Tentative Categorisation”, in Proceedings of the Thirteenth Language Resources and Evaluation Conference. Marseille, France. European Language Resources Association: 2022, pages 559–563.
Conference Proceedings Volume
Copyright (c) 2023 Franziska Boehm, Ulrich Sax, Oliver Vettermann, Paweł Kamocki, Vasilka Stoilova
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