Theo dõi
Jakob Schoeffer
Jakob Schoeffer
Assistant Professor, University of Groningen
Email được xác minh tại rug.nl - Trang chủ
Tiêu đề
Trích dẫn bởi
Trích dẫn bởi
Năm
"There is not enough information": On the effects of explanations on perceptions of informational fairness and trustworthiness in automated decision-making
J Schoeffer, N Kühl, Y Machowski
ACM FAccT, 2022
682022
DEAL: Deep evidential active learning for image classification
P Hemmer, N Kühl, J Schoeffer
IEEE ICMLA, 2020
652020
Detecting concept drift with neural network model uncertainty
L Baier, T Schlör, J Schoeffer, N Kühl
HICSS, 2023
412023
A study on fairness and trust perceptions in automated decision making
J Schoeffer, Y Machowski, N Kühl
ACM IUI (Workshop), 2021
342021
Explanations, fairness, and appropriate reliance in human-AI decision-making
J Schoeffer, M De-Arteaga, N Kühl
🏅 ACM CHI, 2024
332024
Appropriate fairness perceptions? On the effectiveness of explanations in enabling people to assess the fairness of automated decision systems
J Schoeffer, N Kühl
ACM CSCW (Poster), 2021
302021
A critical survey on fairness benefits of explainable AI
L Deck, J Schoeffer, M De-Arteaga, N Kühl
ACM FAccT, 2024
22*2024
Perceptions of fairness and trustworthiness based on explanations in human vs. automated decision-making
J Schoeffer, Y Machowski, N Kühl
HICSS, 2022
202022
On the interdependence of reliance behavior and accuracy in AI-assisted decision-making
J Schoeffer, J Jakubik, M Vössing, N Kühl, G Satzger
🏆 HHAI, 2023
192023
An empirical evaluation of predicted outcomes as explanations in human-AI decision-making
J Jakubik, J Schoeffer, V Hoge, M Vössing, N Kühl
ECML PKDD (Workshop), 2022
162022
A ranking approach to fair classification
J Schoeffer, N Kühl, I Valera
ACM COMPASS, 2021
102021
"I want it that way": Enabling interactive decision support using large language models and constraint programming
C Lawless, J Schoeffer, L Le, K Rowan, S Sen, CS Hill, J Suh, ...
ACM Transactions on Interactive Intelligent Systems (TiiS), 2024
92024
Online platforms and the fair exposure problem under homophily
J Schoeffer, A Ritchie, K Naggita, F Monachou, J Finocchiaro, M Juarez
AAAI, 2023
92023
On the relationship between explanations, fairness perceptions, and decisions
J Schoeffer, M De-Arteaga, N Kühl
ACM CHI (Workshop), 2022
82022
Utilizing active machine learning for quality assurance: A case study of virtual car renderings in the automotive industry
P Hemmer, N Kühl, J Schoeffer
HICSS, 2022
72022
Mapping the potential of explainable AI for fairness along the AI lifecycle
L Deck, A Schomäcker, T Speith, J Schoeffer, L Kästner, N Kühl
EWAF (Workshop), 2024
6*2024
AI reliance and decision quality: Fundamentals, interdependence, and the effects of interventions
J Schoeffer, J Jakubik, M Vössing, N Kühl, G Satzger
Journal of Artificial Intelligence Research (JAIR), 2025
42025
A human-centric perspective on fairness and transparency in algorithmic decision-making
J Schoeffer
ACM CHI (Doctoral Consortium), 2022
32022
On the interplay of transparency and fairness in AI-informed decision-making
J Schoeffer
Karlsruhe Institute of Technology (Dissertation), 2023
22023
Looks can mislead: Feature-based explanations do not reliably improve fairness of AI-assisted decisions
J Schoeffer, M De-Arteaga, N Kühl
Available at SSRN 5029746, 2024
2024
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