Trustworthy AI/en

Aus Aifbportal
Wechseln zu:Navigation, Suche

=Trustworthy AI=

Involved People
Dr. Michael Färber
M.Sc. Florian Leiser
Dr. Sebastian Lins Maximilian Renner
M.Sc. Helen Schneider
M.Sc. Helen Schneider/en
Prof. Dr. Ali Sunyaev
Philipp Toussaint

Publications Belonging to the Area of Research

Imrana Abdullahi Yari, Tobias Dehling, Felix Kluge, Juergen Geck, Ali Sunyaev, Bjoern Eskofier
Security Engineering of Patient-Centered Health Care Information Systems in Peer-to-Peer Environments: Systematic Review
Journal of Medical Internet Research, 23, (11), pages e24460, November, 2021

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

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, pages 57075-57095, März, 2020

Scott Thiebes, Sebastian Lins, Ali Sunyaev
Trustworthy artificial intelligence
Electronic Markets, Oktober, 2020

↑ top

Leopold Müller, Lars Böcking, Michael Färber
Safety Aware Reinforcement Learning by Identifying Comprehensible Constraints in Expert Demonstrations
Proceedings of the Workshop on Artificial Intelligence Safety 2022 (SafeAI∂AAAI'22), AAAI

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

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, pages: 47–57, Association for Computing Machinery (ACM), April, 2021

↑ top

Maximilian Renner, Sebastian Lins, Matthias Söllner, Sirkka L. Jarvenpaa, Ali Sunyaev
Artificial Intelligence-Driven Convergence and its Moderating Effect on Multi-Source Trust Transfer
Hawaii International Conference on System Sciences (HICSS), Januar, 2023

Maximilian Renner, Sebastian Lins, Matthias Söllner, Scott Thiebes, Ali Sunyaev
Understanding the Necessary Conditions of Multi-Source Trust Transfer in Artificial Intelligence
none, 55th, Januar, 2022

Maximilian Renner, Sebastian Lins, Matthias Söllner, Scott Thiebes, Ali Sunyaev
Achieving Trustworthy Artificial Intelligence: Multi-Source Trust Transfer in Artificial Intelligence-capable Technology
Association for Information Systems, Austin, TX, USA, Dezember, 2021

↑ top