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.
How European Union non-discrimination laws are interpreted and enforced vary by context and by state definitions of key terms, like “gender” or “religion.” Non-discrimination laws become even more…
A. Ferraro, X. Serra, and C. Bauer. Proceedings of the 6th ACM SIGIR Conference on Human Information Interaction and Retrieval, page 249-254. New York, NY, USA, ACM, (March 2021)
I. Sen, F. Floeck, K. Weller, B. Weiss, and C. Wagner. (2019)cite arxiv:1907.08228Comment: 18 pages, 2 figures, Working Paper. Updated title, removed figure 3, merged redundancies in background.