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Kevin Baum
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What do we want from Explainable Artificial Intelligence (XAI)?–A stakeholder perspective on XAI and a conceptual model guiding interdisciplinary XAI research
M Langer, D Oster, T Speith, H Hermanns, L Kästner, E Schmidt, A Sesing, ...
Artificial Intelligence 296, 103473, 2021
3752021
Explainability as a non-functional requirement
MA Köhl, K Baum, M Langer, D Oster, T Speith, D Bohlender
2019 IEEE 27th International Requirements Engineering Conference (RE), 363-368, 2019
1002019
What to expect from opening up ‘black boxes’? Comparing perceptions of justice between human and automated agents
N Schlicker, M Langer, SK Ötting, K Baum, CJ König, D Wallach
Computers in Human Behavior 122, 106837, 2021
652021
From responsibility to reason-giving explainable artificial intelligence
K Baum, S Mantel, E Schmidt, T Speith
Philosophy & Technology 35 (1), 12, 2022
482022
Spare me the details: How the type of information about automated interviews influences applicant reactions
M Langer, K Baum, CJ König, V Hähne, D Oster, T Speith
International Journal of Selection and Assessment 29 (2), 154-169, 2021
352021
Explainability auditing for intelligent systems: a rationale for multi-disciplinary perspectives
M Langer, K Baum, K Hartmann, S Hessel, T Speith, J Wahl
2021 IEEE 29th international requirements engineering conference workshops …, 2021
252021
From Machine Ethics To Machine Explainability and Back
K Baum, H Hermanns, T Speith
International Symposium on Artificial Intelligence and Mathematics (ISAIM), 2018
192018
Towards a framework combining machine ethics and machine explainability
K Baum, H Hermanns, T Speith
arXiv preprint arXiv:1901.00590, 2019
132019
Two Challenges for CI Trustworthiness and How to Address Them
K Baum, M Köhl, E Schmidt
1st Workshop on Explainable Computational Intelligence (XCI 2017), 1-5, 2017
132017
What the hack is wrong with software doping?
K Baum
International Symposium on Leveraging Applications of Formal Methods, 633-647, 2016
132016
Towards perspicuity requirements
S Sterz, K Baum, A Lauber-Rönsberg, H Hermanns
2021 IEEE 29th International Requirements Engineering Conference Workshops …, 2021
82021
From fear to action: AI governance and opportunities for all
K Baum, J Bryson, F Dignum, V Dignum, M Grobelnik, H Hoos, M Irgens, ...
Frontiers in Computer Science 5, 1210421, 2023
72023
Calibrated trust as a result of accurate trustworthiness assessment–Introducing the trustworthiness assessment model
N Schlicker, A Uhde, K Baum, MC Hirsch, M Langer
PsyArXiv, 2022
72022
Informatikunterricht in der Grundschule?–Erprobung und Auswertung eines Unterrichtsmoduls mit Calliope mini
K Baum, N Kirsch, K Reese, P Schmidt, L Wachter, V Wolf
Gesellschaft für Informatik, 2019
72019
MorphableUI: A Hypergraph-Based Approach to Distributed Multimodal Interaction for Rapid Prototyping and Changing Environments
A Krekhov, J Grüninger, K Baum, D McCann, J Krüger
42016
GPGPU supported diffusion-based naive video compression
K Baum
Department of Computer Sciene, Saarland University, 2013
42013
Software doping analysis for human oversight
S Biewer, K Baum, S Sterz, H Hermanns, S Hetmank, M Langer, ...
Formal Methods in System Design, 1-50, 2024
32024
Algorithmen bei der Personalauswahl – eine kritische und hoffnungsvolle Betrachtung
M Langer, K Baum, C König
Wirtschaftspsychologie aktuell 1, 36 - 42, 2018
32018
A micro and macro perspective on trustworthiness: theoretical underpinnings of the Trustworthiness Assessment Model (TrAM)
N Schlicker, K Baum, A Uhde, S Sterz, MC Hirsch, M Langer
PsyArXiv, 2022
22022
Algorithmen und die Grenzen von Fairness
K Baum, T Feldkamp, S Henning, N Käfer
Unternehmensverantwortung im digitalen Wandel: Ein Debattenbeitrag zu …, 2020
22020
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