Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Asia J. Biega"'
Autor:
Michele Finck, Asia J. Biega
Publikováno v:
Technology and Regulation, Vol 2021 (2021)
This paper determines whether the two core data protection principles of data minimi- sation and purpose limitation can be meaningfully implemented in data-driven systems. While contemporary data processing practices appear to stand at odds with thes
Externí odkaz:
https://doaj.org/article/e555305f27d244068534b21f415bacdb
Publikováno v:
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems.
Autor:
Lin Kyi, Sushil Ammanaghatta Shivakumar, Cristiana Teixeira Santos, Franziska Roesner, Frederike Zufall, Asia J. Biega
Publikováno v:
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems (CHI ’23)
Autor:
Benjamin Fish, Jennifer Wortman Vaughan, Luke Stark, Forough Poursabzi-Sangdeh, Kate Crawford, Asia J. Biega, Alexandra Olteanu, Brent Hecht, Miroslav Dudík, Margarita Boyarskaya, Hanna Wallach, Marion Zepf, Hal Daumé, Mary L. Gray, Solon Barocas
Publikováno v:
Communications of the ACM. 64:30-32
The COVID-19 pandemic has both created and exacerbated a series of cascading and interrelated crises whose impacts continue to reverberate. From the immediate effects on people's health to the pressures on healthcare systems and mass unemployment, mi
Publikováno v:
Proceedings of the ACM Human-Computer Interacation
Online donation platforms help equalize access to opportunity and funding in cases where inequalities exist. In the context of public school education in the United States, for instance, financial inequalities have been shown to be reflected in the e
Autor:
Michèle Finck, Asia J. Biega
Publikováno v:
SSRN Electronic Journal.
This paper determines, through an interdisciplinary law and computer science lens, whether data minimisation and purpose limitation can be meaningfully implemented in data-driven algorithmic systems, including personalisation, profiling and decision-
Publikováno v:
WWW
There is increasing attention to evaluating the fairness of search system ranking decisions. These metrics often consider the membership of items to particular groups, often identified using protected attributes such as gender or ethnicity. To date,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8e5761c6cb8ffa276ce355c066238bb1
Publikováno v:
CIKM
We introduce the concept of \emph{expected exposure} as the average attention ranked items receive from users over repeated samples of the same query. Furthermore, we advocate for the adoption of the principle of equal expected exposure: given a fixe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0b49c1238d22e34c3060a2c529cdcf3a
http://arxiv.org/abs/2004.13157
http://arxiv.org/abs/2004.13157
Publikováno v:
FAT*
Recent debate within the FAT* community has focused on how the field conceptualizes the problems it seeks to address, what approach the field should take in attempting to address these problems, and whether the field should even pursue some of the pr