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. Roy, J. Horstmann, und E. Ntoutsi. Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, Seite 89–100. New York, NY, USA, ACM, (12.06.2023)
A. Roy, J. Horstmann, und E. Ntoutsi. Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, Seite 89–100. New York, NY, USA, ACM, (12.06.2023)
A. Roy, J. Horstmann, und E. Ntoutsi. Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, Seite 89–100. New York, NY, USA, ACM, (12.06.2023)
A. Roy, J. Horstmann, und E. Ntoutsi. Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, Volume Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency von FAccT '23, Seite 89–100. New York, NY, USA, ACM, (12.06.2023)
A. Roy, J. Horstmann, und E. Ntoutsi. Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, Volume Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency von FAccT '23, Seite 89–100. New York, NY, USA, ACM, (12.06.2023)
K. Dinnissen, und C. Bauer. Proceedings of the 24th International Society for Music Information Retrieval Conference, Seite 482-491. ISMIR, ISMIR, (November 2023)
S. Fatahi, M. Mousavifar, und J. Vassileva. Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization, Seite 66-77. ACM, (Juni 2023)
G. Patro, L. Porcaro, L. Mitchell, Q. Zhang, M. Zehlike, und N. Garg. FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21 - 24, 2022, Seite 1929--1942. ACM, (2022)