Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Ahmad Ghizzawi"'
Publikováno v:
2021 International Conference on Microelectronics (ICM).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::93561a4a5658ce25a5526f3f79c1b5f0
https://doi.org/10.1109/icm52667.2021.9664906
https://doi.org/10.1109/icm52667.2021.9664906
Publikováno v:
KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Aug 2021, Virtual Event Singapore, France. pp.2525-2533, ⟨10.1145/3447548.3467063⟩
KDD
KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Aug 2021, Virtual Event Singapore, France. pp.2525-2533, ⟨10.1145/3447548.3467063⟩
KDD
International audience; Algorithmic bias has been identified as a key challenge in many AI applications. One major source of bias is the data used to build these applications. For instance, many AI applications rely on human users to generate trainin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9f3aa52470039fad57c926d9249ac771
https://hal.archives-ouvertes.fr/hal-03379592/document
https://hal.archives-ouvertes.fr/hal-03379592/document
Publikováno v:
ACM/IMS Transactions on Data Science
ACM/IMS Transactions on Data Science, ACM, 2020, 1 (4), pp.1-30. ⟨10.1145/3402883⟩
ACM/IMS Transactions on Data Science, ACM, 2020, 1 (4), pp.1-30. ⟨10.1145/3402883⟩
We study fairness of scoring in online job marketplaces. We focus on group fairness and aim to algorithmically explore how a scoring function, through which individuals are ranked for jobs, treats different demographic groups. Previous work on group-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7bb38850a03b1a6ebee32bf15ce8601d
https://hal.archives-ouvertes.fr/hal-03183931/document
https://hal.archives-ouvertes.fr/hal-03183931/document