The FAIR-AI project aims to address gaps in dealing with societal risks in AI applications, focusing on the challenges posed by the upcoming European AI law.
Visit Project WebsiteThe FFG-funded OBARIS project aims to advance the status quo in the area of auditable semantic artificial intelligence systems (SAISs), by investigating both conceptual aspects of these systems as well as a technology stack that facilitates transposing these system types into concrete settings.
Visit Project WebsiteType: Conference Paper
Venue: ESWC 2023
Authors: Anna Breit, Laura Waltersdorfer, Fajar J. Ekaputra, Sotirios Karampatakis, Tomasz Miksa, and Gregor Käfer
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Venue: ESWC 2023
Authors: Fajar J. Ekaputra, Majlinda Llugiqi, Marta Sabou, Andreas Ekelhart, Heiko Paulheim, Anna Breit, Artem Revenko, Laura Waltersdorfer, Kheir Eddine Farfar, and Sören Auer
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Venue: ACM Computing Surveys
Authors: Anna Breit, Laura Waltersdorfer, Fajar J. Ekaputra, Marta Sabou, Andreas Ekelhart, Andreea Iana, Heiko Paulheim, Jan Portisch, Artem Revenko, Annete ten Teije, Frank van Harmelen
View publicationType: Workshop Paper
Authors: Fajar J. Ekaputra, Laura Waltersdorfer, Anna Breit and Marta Sabou
View publicationType: Workshop Paper
Authors: Anna Breit, Laura Waltersdorfer, Fajar J. Ekaputra, Tomasz Miksa, Marta Sabou
View publicationType: Workshop Paper
Authors: Laura Waltersdorfer, Anna Breit, Fajar J. Ekaputra and Marta Sabou
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