Jakob Schoeffer
Jakob Schoeffer
Postdoctoral Research Fellow, 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
Detecting concept drift with neural network model uncertainty
L Baier, T Schloer, J Schoeffer, N Kuehl
HICSS '23, 2023
A study on fairness and trust perceptions in automated decision making
J Schoeffer, Y Machowski, N Kuehl
TExSS Workshop @ ACM IUI '21, 2021
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
Explanations, fairness, and appropriate reliance in human-AI decision-making
J Schoeffer, M De-Arteaga, N Kuehl
🏅 ACM CHI '24, 2024
A ranking approach to fair classification
J Schoeffer, N Kuehl, I Valera
ACM COMPASS '21, 2021
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
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
A critical survey on fairness benefits of explainable AI
L Deck, J Schoeffer, M De-Arteaga, N Kuehl
ACM FAccT '24, 2024
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
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
On the interplay of transparency and fairness in AI-informed decision-making
J Schoeffer
Karlsruhe Institute of Technology, 2023
Mapping the potential of explainable artificial intelligence (XAI) for fairness along the AI lifecycle
L Deck, A Schoemäcker, T Speith, J Schoeffer, L Kästner, N Kühl
EWAF '24, 2024
"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, ...
arXiv preprint arXiv:2312.06908, 2023
The system can't perform the operation now. Try again later.
Articles 1–18