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Jakob Schoeffer
Jakob Schoeffer
Postdoctoral Research Fellow, University of Texas at Austin
Verified email at austin.utexas.edu - Homepage
Title
Cited by
Cited by
Year
DEAL: Deep evidential active learning for image classification
P Hemmer, N Kuehl, J Schoeffer
IEEE ICMLA, 2020
662020
"There is not enough information": On the effects of explanations on perceptions of informational fairness and trustworthiness in automated decision-making
J Schoeffer, N Kuehl, Y Machowski
ACM FAccT, 2022
592022
Detecting concept drift with neural network model uncertainty
L Baier, T Schloer, J Schoeffer, N Kuehl
HICSS, 2023
402023
A study on fairness and trust perceptions in automated decision making
J Schoeffer, Y Machowski, N Kuehl
ACM IUI (Workshop), 2021
322021
Explanations, fairness, and appropriate reliance in human-AI decision-making
J Schoeffer, M De-Arteaga, N Kuehl
🏅 ACM CHI, 2024
282024
Appropriate fairness perceptions? On the effectiveness of explanations in enabling people to assess the fairness of automated decision systems
J Schoeffer, N Kuehl
ACM CSCW (Poster), 2021
262021
Perceptions of fairness and trustworthiness based on explanations in human vs. automated decision-making
J Schoeffer, Y Machowski, N Kuehl
HICSS, 2022
182022
On the interdependence of reliance behavior and accuracy in AI-assisted decision-making
J Schoeffer, J Jakubik, M Voessing, N Kuehl, G Satzger
🏆 HHAI, 2023
162023
An empirical evaluation of predicted outcomes as explanations in human-AI decision-making
J Jakubik, J Schoeffer, V Hoge, M Voessing, N Kuehl
ECML PKDD (Workshop), 2022
162022
A critical survey on fairness benefits of explainable AI
L Deck, J Schoeffer, M De-Arteaga, N Kuehl
ACM FAccT, 2024
14*2024
On the relationship between explanations, fairness perceptions, and decisions
J Schoeffer, M De-Arteaga, N Kuehl
ACM CHI (Workshop), 2022
92022
A ranking approach to fair classification
J Schoeffer, N Kuehl, I Valera
ACM COMPASS, 2021
92021
Utilizing active machine learning for quality assurance: A case study of virtual car renderings in the automotive industry
P Hemmer, N Kuehl, J Schoeffer
HICSS, 2022
72022
"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
62024
Online platforms and the fair exposure problem under homophily
J Schoeffer, A Ritchie, K Naggita, F Monachou, J Finocchiaro, M Juarez
AAAI, 2023
62023
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), 2024
32024
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
3*2024
On the interplay of transparency and fairness in AI-informed decision-making
J Schoeffer
Karlsruhe Institute of Technology (Dissertation), 2023
22023
A human-centric perspective on fairness and transparency in algorithmic decision-making
J Schoeffer
ACM CHI (Doctoral Consortium), 2022
22022
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