| "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 '22, 2022 | 105 | 2022 |
| Explanations, fairness, and appropriate reliance in human-AI decision-making J Schoeffer, M De-Arteaga, N Kühl 🏅 ACM CHI '24, 2024 | 96 | 2024 |
| DEAL: Deep evidential active learning for image classification P Hemmer, N Kühl, J Schoeffer IEEE ICMLA '20, 2020 | 74 | 2020 |
| A critical survey on fairness benefits of explainable AI L Deck, J Schoeffer, M De-Arteaga, N Kühl ACM FAccT '24, 2024 | 70* | 2024 |
| Detecting concept drift with neural network model uncertainty L Baier, T Schlör, J Schoeffer, N Kühl HICSS '23, 2023 | 61 | 2023 |
| A study on fairness and trust perceptions in automated decision making J Schoeffer, Y Machowski, N Kühl ACM IUI '21 (Workshop), 2021 | 40 | 2021 |
| "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 | 37 | 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 '21 (Poster), 2021 | 35 | 2021 |
| On the interdependence of reliance behavior and accuracy in AI-assisted decision-making J Schoeffer, J Jakubik, M Vössing, N Kühl, G Satzger 🏆 HHAI '23, 2023 | 30 | 2023 |
| Perceptions of fairness and trustworthiness based on explanations in human vs. automated decision-making J Schoeffer, Y Machowski, N Kühl HICSS '22, 2022 | 25 | 2022 |
| 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 '22 (Workshop), 2022 | 24 | 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 '24 (Workshop), 2024 | 19* | 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 | 13 | 2025 |
| A ranking approach to fair classification J Schoeffer, N Kühl, I Valera ACM COMPASS '21, 2021 | 11 | 2021 |
| Online platforms and the fair exposure problem under homophily J Schoeffer, A Ritchie, K Naggita, F Monachou, J Finocchiaro, M Juarez AAAI '23, 2023 | 10 | 2023 |
| On the relationship between explanations, fairness perceptions, and decisions J Schoeffer, M De-Arteaga, N Kühl ACM CHI '22 (Workshop), 2022 | 8 | 2022 |
| 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 '22, 2022 | 8 | 2022 |
| A human-centric perspective on fairness and transparency in algorithmic decision-making J Schoeffer ACM CHI '22 (Doctoral Consortium), 2022 | 5 | 2022 |
| Perils of label indeterminacy: A case study on prediction of neurological recovery after cardiac arrest J Schoeffer, M De-Arteaga, J Elmer ACM FAccT '25, 2025 | 4 | 2025 |
| On the interplay of transparency and fairness in AI-informed decision-making J Schoeffer Karlsruhe Institute of Technology (Dissertation), 2023 | 2 | 2023 |
Niklas KühlUniversity of BayreuthVerified email at uni-bayreuth.de
