Zobrazeno 1 - 10
of 81
pro vyhledávání: '"KLEANTHOUS, STYLIANI"'
Autor:
Kasinidou, Maria, Kleanthous, Styliani, Busso, Matteo, Rodas, Marcelo, Otterbacher, Jahna, Giunchiglia, Fausto
With the surge in data-centric AI and its increasing capabilities, AI applications have become a part of our everyday lives. However, misunderstandings regarding their capabilities, limitations, and associated advantages and disadvantages are widespr
Externí odkaz:
http://arxiv.org/abs/2406.11865
Autor:
Giunchiglia, Fausto, Otterbacher, Jahna, Kleanthous, Styliani, Batsuren, Khuyagbaatar, Bogin, Veronika, Kuflik, Tsvi, Tal, Avital Shulner
As the role of algorithmic systems and processes increases in society, so does the risk of bias, which can result in discrimination against individuals and social groups. Research on algorithmic bias has exploded in recent years, highlighting both th
Externí odkaz:
http://arxiv.org/abs/2104.05658
Autor:
Orphanou, Kalia, Otterbacher, Jahna, Kleanthous, Styliani, Batsuren, Khuyagbaatar, Giunchiglia, Fausto, Bogina, Veronika, Tal, Avital Shulner, AlanHartman, Kuflik, Tsvi
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, en
Externí odkaz:
http://arxiv.org/abs/2103.16953
Akademický článek
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Publikováno v:
In Patterns 14 January 2022 3(1)
Akademický článek
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Autor:
Barlas, Pinar, Krahn, Maximilian, Kleanthous, Styliani, Kyriakou, Kyriakos, Otterbacher, Jahna
Much attention has been on the behaviors of computer vision services when describing images of people. Audits have re- vealed rampant biases that could lead to harm, when services are used by developers and researchers. We focus on temporal auditing,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::497d01495124310528ca8c2a08321085
Autor:
Kyriakou, Kyriakos, Barlas, Pinar, Kleanthous, Styliani, Christoforou, Evgenia, Otterbacher, Jahna
Various stakeholders have called for human oversight of algorithmic processes, as a means to mitigate the possibility for automated discrimination and other social harms. This is even more crucial in light of the democratization of AI, where data and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aeb7d7c9d1243cc4a1941880726ff189
Autor:
Kleanthous, Styliani, Otterbacher, Jahna, Bates, Jo, Giunchiglia, Fausto, Hopfgartner, Frank, Kuflik, Tsvi, Orphanou, Kalia, Paramita, Monica, Rovatsos, Michael, Shulner-Tal, Avital
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2659::d7cb748e59a4ea90e82fef79683a5b58
https://zenodo.org/record/5783031
https://zenodo.org/record/5783031
Image tagging APIs, offered as Cognitive Services in the movement to democratize AI, have become popular in applications that need to provide a personalized user experience. Developers can easily incorporate these services into their applications; ho
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::42ea7638f06c15494eb06fa75ba4ef67