The FATE System Iterated: Fair, Transparent and Explainable Decision Making in a Juridical Case

Boer, M.H.T. de; Vethman, S.; Bakker, R.M.; Adhikari, A.; Marcus, M.J.H.; Greeff, J. de; Waa, J. van der; Schoonderwoerd, T.A.J.; Tolios, I.; Zoelen, E.M. van; Hillerström, F.H.J.; Kamphorst, B.

The FATE System Iterated: Fair, Transparent and Explainable Decision Making in a Juridical Case

conference paper

2022

Boer, M.H.T. de

Vethman, S.

Bakker, R.M.

Adhikari, A.

Marcus, M.J.H.

Greeff, J. de

Waa, J. van der

Schoonderwoerd, T.A.J.

Tolios, I.

Zoelen, E.M. van

Hillerström, F.H.J.

Kamphorst, B.

Topics

Decision support systems Knowledge engineering Learning systems Bias Co-learning Decision supports Decisions makings Explainable AI FAIR AI Hybrid AI Privacy preserving Secure learning State of the art Decision making

TNO Identifier

968426

Repository link

https://resolver.tno.nl/uuid:69ab8931-358d-40c4-846f-26f975a32efb

ISSN

16130073

Publisher

CEUR-WS

Source title

CEUR Workshop Proceedings, AAAI 2022 Spring Symposium on Machine Learning and Knowledge Engineering for Hybrid Intelligence, AAAI-MAKE 2022, 21 March 2022 through 23 March 2022

Files

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The FATE System Iterated: Fair, Transparent and Explainable Decision Making in a Juridical Case

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