Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Waltersdorfer, Laura"'
Autor:
Abercrombie, Gavin, Benbouzid, Djalel, Giudici, Paolo, Golpayegani, Delaram, Hernandez, Julio, Noro, Pierre, Pandit, Harshvardhan, Paraschou, Eva, Pownall, Charlie, Prajapati, Jyoti, Sayre, Mark A., Sengupta, Ushnish, Suriyawongkul, Arthit, Thelot, Ruby, Vei, Sofia, Waltersdorfer, Laura
This paper introduces a collaborative, human-centered taxonomy of AI, algorithmic and automation harms. We argue that existing taxonomies, while valuable, can be narrow, unclear, typically cater to practitioners and government, and often overlook the
Externí odkaz:
http://arxiv.org/abs/2407.01294
Artificial Intelligence (AI) Auditability is a core requirement for achieving responsible AI system design. However, it is not yet a prominent design feature in current applications. Existing AI auditing tools typically lack integration features and
Externí odkaz:
http://arxiv.org/abs/2406.14243
Autor:
Ekaputra, Fajar J., Llugiqi, Majlinda, Sabou, Marta, Ekelhart, Andreas, Paulheim, Heiko, Breit, Anna, Revenko, Artem, Waltersdorfer, Laura, Farfar, Kheir Eddine, Auer, Sören
In line with the general trend in artificial intelligence research to create intelligent systems that combine learning and symbolic components, a new sub-area has emerged that focuses on combining machine learning (ML) components with techniques deve
Externí odkaz:
http://arxiv.org/abs/2303.15113
Autor:
BREIT, ANNA1 anna.breit@semantic-web.com, WALTERSDORFER, LAURA2 laura.waltersdorfer@tuwien.ac.at, EKAPUTRA, FAJAR J.2,3 fajar.ekaputra@wu.ac.at, SABOU, MARTA3 marta.sabou@wu.ac.at, EKELHART, ANDREAS4,5 andreas.ekelhart@univie.ac.at, IANA, ANDREEA6 andreea.iana@uni-mannheim.de, PAULHEIM, HEIKO6 heiko@informatik.uni-mannheim.de, PORTISCH, JAN6 jan.portisch@sap.com, REVENKO, ARTEM1 artem.revenko@semantic-web.com, TEIJE, ANNETTE TEN7 annette.ten.teije@vu.nl, VAN HARMELEN, FRANK7 frank.van.harmelen@vu.nl
Publikováno v:
ACM Computing Surveys. 2023 Suppl14s, Vol. 55, p1-41. 41p.
Autor:
Ekaputra, Fajar J., Ekelhart, Andreas, Mayer, Rudolf, Miksa, Tomasz, Šarčević, Tanja, Tsepelakis, Sotirios, Waltersdorfer, Laura
Publikováno v:
Semantic Web (1570-0844); 2024, Vol. 15 Issue 3, p675-708, 34p
Akademický článek
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Autor:
Mayer, Rudolf, Sarcevic, Tanja, Ekaputra, Fajar J., Waltersdorfer, Laura, Ekelhart, Andreas, Miksa, Tomasz, Sendera, Gerald
Materials (presentations and video) from the online webinar FAIR for Sensitive Data, organized by the FAIR Office Austria on March 23, 2021.The goal of the webinar was to inform researchers on technical and legal aspects and hands-on practices when w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4a08a87fa8ed218ad78afcd75836c2ca
Autor:
Waltersdorfer, Laura
Technical debt (TD) is a well-researched area in software engineering (SE), to communicate the long term negative effects and impact of short term solutions. Most TD research focuses mainly on software code and its implications, whereas in other disc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c0c238b9106d12d2d73de2aa68efe4d9
Autor:
Ekaputra, Fajar J., Ekelhart, Andreas, Mayer, Rudolf, Miksa, Tomasz, Šarčević, Tanja, Tsepelakis, Sotirios, Waltersdorfer, Laura
Publikováno v:
Semantic Web; 20220101, Issue: Preprints p1-34, 34p
Autor:
Rinker, Felix, Waltersdorfer, Laura, Meixner, Kristof, Winkler, Dietmar, Lüder, Arndt, Biffl, Stefan
Publikováno v:
SN Computer Science; March 2023, Vol. 4 Issue: 2