| "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 | 66 | 2022 |
| DEAL: Deep evidential active learning for image classification P Hemmer, N Kühl, J Schoeffer IEEE ICMLA, 2020 | 65 | 2020 |
| Detecting concept drift with neural network model uncertainty L Baier, T Schlör, J Schoeffer, N Kühl HICSS, 2023 | 40 | 2023 |
| A study on fairness and trust perceptions in automated decision making J Schoeffer, Y Machowski, N Kühl ACM IUI (Workshop), 2021 | 33 | 2021 |
| Explanations, fairness, and appropriate reliance in human-AI decision-making J Schoeffer, M De-Arteaga, N Kühl 🏅 ACM CHI, 2024 | 32 | 2024 |
| 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 | 30 | 2021 |
| Perceptions of fairness and trustworthiness based on explanations in human vs. automated decision-making J Schoeffer, Y Machowski, N Kühl HICSS, 2022 | 20 | 2022 |
| A critical survey on fairness benefits of explainable AI L Deck, J Schoeffer, M De-Arteaga, N Kühl ACM FAccT, 2024 | 19* | 2024 |
| 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 | 18 | 2023 |
| 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 | 17 | 2022 |
| A ranking approach to fair classification J Schoeffer, N Kühl, I Valera ACM COMPASS, 2021 | 10 | 2021 |
| On the relationship between explanations, fairness perceptions, and decisions J Schoeffer, M De-Arteaga, N Kühl ACM CHI (Workshop), 2022 | 9 | 2022 |
| "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 | 8 | 2024 |
| Online platforms and the fair exposure problem under homophily J Schoeffer, A Ritchie, K Naggita, F Monachou, J Finocchiaro, M Juarez AAAI, 2023 | 7 | 2023 |
| 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 | 7 | 2022 |
| 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 | 3 | 2025 |
| A human-centric perspective on fairness and transparency in algorithmic decision-making J Schoeffer ACM CHI (Doctoral Consortium), 2022 | 3 | 2022 |
| On the interplay of transparency and fairness in AI-informed decision-making J Schoeffer Karlsruhe Institute of Technology (Dissertation), 2023 | 2 | 2023 |
| 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 |
Niklas KühlUniversity of Bayreuth在 uni-bayreuth.de 的电子邮件经过验证