DEAL: Deep evidential active learning for image classification P Hemmer, N Kuehl, J Schoeffer IEEE ICMLA '20, 2020 | 57 | 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 | 48 | 2022 |
A study on fairness and trust perceptions in automated decision making J Schoeffer, Y Machowski, N Kuehl TExSS Workshop @ ACM IUI '21, 2021 | 31 | 2021 |
Detecting concept drift with neural network model uncertainty L Baier, T Schloer, J Schoeffer, N Kuehl HICSS '23, 2023 | 29 | 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 | 20 | 2021 |
Perceptions of fairness and trustworthiness based on explanations in human vs. automated decision-making J Schoeffer, Y Machowski, N Kuehl HICSS '22, 2022 | 17 | 2022 |
Explanations, fairness, and appropriate reliance in human-AI decision-making J Schoeffer, M De-Arteaga, N Kuehl 🏅 ACM CHI '24, 2024 | 15 | 2024 |
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 | 10 | 2022 |
A ranking approach to fair classification J Schoeffer, N Kuehl, I Valera ACM COMPASS '21, 2021 | 9 | 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 | 8 | 2023 |
On the relationship between explanations, fairness perceptions, and decisions J Schoeffer, M De-Arteaga, N Kuehl HCXAI Workshop @ ACM CHI '22, 2022 | 8 | 2022 |
A critical survey on fairness benefits of explainable AI L Deck, J Schoeffer, M De-Arteaga, N Kuehl ACM FAccT '24, 2024 | 7* | 2024 |
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 | 7 | 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 | 4 | 2023 |
Mapping the potential of explainable artificial intelligence (XAI) for fairness along the AI lifecycle L Deck, A Schomäcker, T Speith, J Schoeffer, L Kästner, N Kühl EWAF '24, 2024 | 3 | 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, ... ACM TiiS (forthcoming), 2024 | 3 | 2024 |
A human-centric perspective on fairness and transparency in algorithmic decision-making J Schoeffer ACM CHI '22 Extended Abstracts, 2022 | 2 | 2022 |
On the interplay of transparency and fairness in AI-informed decision-making J Schoeffer Karlsruhe Institute of Technology, 2023 | 1 | 2023 |