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Kevin Baum
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引用次数
年份
Soft Begging: Modular and Efficient Shielding of LLMs against Prompt Injection and Jailbreaking based on Prompt Tuning
S Ostermann, K Baum, C Endres, J Masloh, P Schramowski
arXiv preprint arXiv:2407.03391, 2024
2024
On the Quest for Effectiveness in Human Oversight: Interdisciplinary Perspectives
S Sterz, K Baum, S Biewer, H Hermanns, A Lauber-Rönsberg, P Meinel, ...
The 2024 ACM Conference on Fairness, Accountability, and Transparency, 2495-2507, 2024
2024
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
42024
A signal detection perspective on error and unfairness detection as a critical aspect of human oversight of AI-based systems
M Langer, K Baum, N Schlicker
OSF, 2023
2023
XAI requirements in smart production processes: a case study
D Baum, K Baum, TP Gros, V Wolf
World Conference on Explainable Artificial Intelligence, 3-24, 2023
42023
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
92023
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
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
Ethics for Nerds
K Baum, S Sterz
The International Review of Information Ethics 31 (1), 2022
2022
From responsibility to reason-giving explainable artificial intelligence
K Baum, S Mantel, E Schmidt, T Speith
Philosophy & Technology 35 (1), 12, 2022
622022
Towards perspicuity requirements
S Sterz, K Baum, A Lauber-Rönsberg, H Hermanns
2021 IEEE 29th International Requirements Engineering Conference Workshops …, 2021
102021
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
292021
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
752021
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
4302021
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
432021
"Have you ever questioned the nature of your reality?“ — Westworld aus der Perspektive der Philosophie
M Schillo, K Baum
Folge um Folge. Multiple Perspektiven auf die Fernsehserie, 263-279, 2020
2020
Algorithmen und die Grenzen von Fairness
K Baum, T Feldkamp, S Henning, N Käfer
Unternehmensverantwortung im digitalen Wandel: Ein Debattenbeitrag zu …, 2020
22020
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
1152019
Towards a framework combining machine ethics and machine explainability
K Baum, H Hermanns, T Speith
arXiv preprint arXiv:1901.00590, 2019
142019
Anforderungen an die Erklärbarkeit maschinengestützter Entscheidungen
A Sesing, K Baum
Tagungsband DSRI-Herbstakademie: Die Macht der Daten und der Algorithmen …, 2019
2019
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