Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Avital Shulner-Tal"'
Autor:
Kalia Orphanou, Jahna Otterbacher, Styliani Kleanthous, Khuyagbaatar Batsuren, Fausto Giunchiglia, Veronika Bogina, Avital Shulner Tal, Alan Hartman, Tsvi Kuflik
Publikováno v:
ACM Computing Surveys. 55:1-37
Mitigating bias in algorithmic systems is a critical issue drawing attention across communities within the information and computer sciences. Given the complexity of the problem and the involvement of multiple stakeholders—including developers, end
Publikováno v:
International Journal of Human–Computer Interaction. 39:1455-1482
Autor:
Styliani Kleanthous, Bamshad Mobasher, Tsvika Kuflik, Bettina Berendt, Robin Burke, Jahna Otterbacher, Nasim Sonboli, Avital Shulner Tal
Publikováno v:
Adjunct Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization.
Publikováno v:
International Journal of Artificial Intelligence in Education. 32:808-833
This paper discusses educating stakeholders of algorithmic systems (systems that apply Artificial Intelligence/Machine learning algorithms) in the areas of algorithmic fairness, accountability, transparency and ethics (FATE). We begin by establishing
Autor:
Tsvi Kuflik, Jonathan Dodge, Styliani Kleanthous Loizou, Brian Lim, Carina Negreanu, Avital Shulner-Tal, Simone Stumpf
Publikováno v:
27th International Conference on Intelligent User Interfaces.
Publikováno v:
Ethics and Information Technology. 24
Publikováno v:
Adjunct Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization (UMAP)
UMAP (Adjunct Publication)
UMAP (Adjunct Publication)
Over the past years, there has been an increasing concern regarding the risk of bias and discrimination in algorithmic systems, which re- ceived significant attention amongst the research communities. To ensure the system’s fairness, various method
Autor:
Jahna Otterbacher, Styliani Kleanthous, Michael D. Ekstrand, Bettina Berendt, Avital Shulner Tal, Bamshad Mobasher
Publikováno v:
UMAP (Adjunct Publication)
Autor:
Bamshad Mobasher, Bettina Berendt, Michael D. Ekstrand, Styliani Kleanthous, Jahna Otterbacher, Avital Shulner Tal
Publikováno v:
UMAP (Adjunct Publication)
Proceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization
Proceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization
The 3rd FairUMAP workshop brings together researchers working at the intersection of user modeling, adaptation, and personalization on the one hand, and bias, fairness and transparency in algorithmic systems on the other hand.
Autor:
Styliani Kleanthous, Jo Bates, Tsvi Kuflik, Frank Hopfgartner, Jahna Otterbacher, Monica Lestari Paramita, Michael Rovatsos, Avital Shulner-Tal, Kalia Orphanou, Fausto Giunchiglia
Publikováno v:
ACM SIGIR Forum. 55(1):1-9
The first FATE Winter School, organized by the Cyprus Center for Algorithmic Transparency (CyCAT) provided a forum for both students as well as senior researchers to examine the complex topic of Fairness, Accountability, Transparency and Ethics (FATE