Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Simon Enni"'
Autor:
Karl-Emi Kjær Bilstrup, Magnus Høholt Kaspersen, Ira Assent, Simon Enni, Marianne Graves Petersen
Publikováno v:
Bilstrup, K E K, Kaspersen, M H, Assent, I, Enni, S & Petersen, M G 2022, From Demo to Design in Teaching Machine Learning . in Proceedings of the 5th ACM Conference on Fairness, Accountability, and Transparency, FAccT 2022 . Association for Computing Machinery, ACM International Conference Proceeding Series, pp. 2168-2178, 5th ACM Conference on Fairness, Accountability, and Transparency, FAccT 2022, Virtual, Online, Korea, Republic of, 21/06/2022 . https://doi.org/10.1145/3531146.3534634
The prevalence of artificial intelligence (AI) and machine learning (ML) technologies in digital ecosystems has led to a push for AI literacy, giving everybody, including K-12 students, the necessary knowledge and abilities to engage critically with
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::396f2283be93e4e5444ca6f0fe42c9d0
https://pure.au.dk/portal/da/publications/from-demo-to-design-in-teaching-machine-learning(5c37065f-b167-4e11-a5ba-a729cfa82b19).html
https://pure.au.dk/portal/da/publications/from-demo-to-design-in-teaching-machine-learning(5c37065f-b167-4e11-a5ba-a729cfa82b19).html
Autor:
Ira Assent, Simon Enni
Publikováno v:
ICDM
Enni, S & Assent, I 2018, Using Balancing Terms to Avoid Discrimination in Classification . in 2018 IEEE International Conference on Data Mining (ICDM) . IEEE Press, pp. 947-952, IEEE International Conference on Data Mining (ICDM), Singapore, 17/11/2018 . https://doi.org/10.1109/ICDM.2018.00116
Enni, S & Assent, I 2018, Using Balancing Terms to Avoid Discrimination in Classification . in 2018 IEEE International Conference on Data Mining (ICDM) . IEEE Press, pp. 947-952, IEEE International Conference on Data Mining (ICDM), Singapore, 17/11/2018 . https://doi.org/10.1109/ICDM.2018.00116
From personalized ad delivery and healthcare to criminal sentencing, more decisions are made with help from methods developed in the fields of data mining and machine learning than ever before. However, their widespread use has raised concerns about
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eef5e5daebd24f975eb9e7e4f7206517
https://doi.org/10.1109/icdm.2018.00116
https://doi.org/10.1109/icdm.2018.00116
