Jakob Schoeffer
Jakob Schoeffer
Postdoctoral Researcher, University of Texas at Austin
Verified email at - Homepage
Cited by
Cited by
DEAL: Deep evidential active learning for image classification
P Hemmer, N Kuehl, J Schoeffer
IEEE ICMLA '20, 2020
"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 '22, 2022
A study on fairness and trust perceptions in automated decision making
J Schoeffer, Y Machowski, N Kuehl
TExSS Workshop @ ACM IUI '21, 2021
Detecting concept drift with neural network model uncertainty
L Baier, T Schloer, J Schoeffer, N Kuehl
HICSS '23, 2023
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 '21 Companion, 2021
Perceptions of fairness and trustworthiness based on explanations in human vs. automated decision-making
J Schoeffer, Y Machowski, N Kuehl
HICSS '22, 2022
A ranking approach to fair classification
J Schoeffer, N Kuehl, I Valera
ACM COMPASS '21, 2021
On explanations, fairness, and appropriate reliance in human-AI decision-making
J Schoeffer, M De-Arteaga, N Kuehl
TRAIT Workshop @ ACM CHI '23, 2023
An empirical evaluation of predicted outcomes as explanations in human-AI decision-making
J Jakubik, J Schoeffer, V Hoge, M Voessing, N Kuehl
XKDD Workshop @ ECML PKDD '22, 2022
On the relationship between explanations, fairness perceptions, and decisions
J Schoeffer, M De-Arteaga, N Kuehl
HCXAI Workshop @ ACM CHI '22, 2022
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 '22, 2022
On the interdependence of reliance behavior and accuracy in AI-assisted decision-making
J Schoeffer, J Jakubik, M Voessing, N Kuehl, G Satzger
🏆 HHAI '23, 2023
Online platforms and the fair exposure problem under homophily
J Schoeffer, A Ritchie, K Naggita, F Monachou, J Finocchiaro, M Juarez
AAAI '23, 2023
A human-centric perspective on fairness and transparency in algorithmic decision-making
J Schoeffer
ACM CHI '22 Extended Abstracts, 2022
A critical survey on fairness benefits of XAI
L Deck, J Schoeffer, M De-Arteaga, N Kuehl
XAIA Workshop @ NeurIPS '23, 2023
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