In dieser Fortsetzungsfolge zum Thema Learning Analytics erläutern Marius Wehner und Lynn Schmodde von der Wirtschaftswissenschaftlichen Fakultät der Heinrich-Heine-Universität Düsseldorf das Verbundprojekt Fair Enough. Zur Fairness von Learning Analytics-Systemen legen sie empirische Evaluationsergebnisse verschiedener Stakeholder-Gruppen dar und geben einen Ausblick auf zukünftige Entwicklungen. Interviewer in Folge 12 des DINItus Podcasts ist Erik Reidt vom ZIM/Multimediazentrum der HHU Düsseldorf.
A new report by Jisc has been compiled to help universities, colleges and research institutes think about the ethics of artificial intelligence (AI), and to combat “unfairness” or “unexpected effects” for students and staff in education and research.
A. Roy, J. Horstmann, и E. Ntoutsi. Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, стр. 89–100. New York, NY, USA, ACM, (12.06.2023)
A. Roy, J. Horstmann, и E. Ntoutsi. Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, стр. 89–100. New York, NY, USA, ACM, (12.06.2023)
A. Roy, J. Horstmann, и E. Ntoutsi. Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, стр. 89–100. New York, NY, USA, ACM, (12.06.2023)
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A. Roy, J. Horstmann, и E. Ntoutsi. Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, том Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency из FAccT '23, стр. 89–100. New York, NY, USA, ACM, (12.06.2023)
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