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Trustworthy AI

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=Trustworthy AI=

Beteiligte Personen
Dr. Michael Färber
M.Sc. Florian Leiser
M.Sc. Sebastian Lins
M.sc. Maximilian Renner
Prof. Dr. Ali Sunyaev
Philipp Toussaint




Veröffentlichungen zum Forschungsgebiet

Article
Konstantin D. Pandl, Scott Thiebes, Manuel Schmidt-Kraepelin, Ali Sunyaev
On the Convergence of Artificial Intelligence and Distributed Ledger Technology: A Scoping Review and Future Research Agenda
IEEE Access, 8, Seiten 57075-57095, März, 2020
(Details)


Ali Sunyaev
Vertrauenswürdige Systeme mit künstlicher Intelligenz
Wirtschaftsinformatik & Management, März, 2020
(Details)


Scott Thiebes, Sebastian Lins, Ali Sunyaev
Trustworthy artificial intelligence
Electronic Markets, Oktober, 2020
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inproceedings
Michael Färber, Frederic Bartscherer
Media Bias Everywhere? A Vision for Dealing with the Manipulation of Public Opinion
Proceedings of the Second International Workshop on Algorithmic Bias in Search and Recommendation (Bias∂ECIR'21), Springer
(Details)


Konstantin D. Pandl, Fabian Feiland, Scott Thiebes, Ali Sunyaev
Trustworthy machine learning for health care: scalable data valuation with the shapley value
Proceedings of the Conference on Health, Inference, and Learning, Seiten: 47–57, Association for Computing Machinery (ACM), April, 2021
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proceedings
Maximilian Renner, Sebastian Lins, Matthias Söllner, Scott Thiebes, Ali Sunyaev
Understanding the Necessary Conditions of Multi-Source Trust Transfer in Artificial Intelligence
University of Hawai'i at Manoa / Hamilton Library, 55th, Januar, 2022
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