| What do we want from Explainable Artificial Intelligence (XAI)?–A stakeholder perspective on XAI and a conceptual model guiding interdisciplinary XAI research M Langer, D Oster, T Speith, H Hermanns, L Kästner, E Schmidt, A Sesing, ... Artificial Intelligence 296, 103473, 2021 | 822 | 2021 |
| On the relation of trust and explainability: Why to engineer for trustworthiness L Kästner, M Langer, V Lazar, A Schomäcker, T Speith, S Sterz 2021 IEEE 29th International Requirements Engineering Conference Workshops …, 2021 | 116 | 2021 |
| Dynamic embodied cognition LC De Bruin, L Kästner Phenomenology and the Cognitive Sciences 11 (4), 541-563, 2012 | 77 | 2012 |
| Philosophy of Cognitive Neuroscience: Causal Explanations, Mechanisms and Experimental Manipulations L Kästner Walter de Gruyter GmbH & Co KG, 2017 | 50 | 2017 |
| Monitoring different phonological parameters of sign language engages the same cortical language network but distinctive perceptual ones V Cardin, E Orfanidou, L Kästner, J Rönnberg, B Woll, CM Capek, ... Journal of cognitive neuroscience 28 (1), 20-40, 2016 | 42 | 2016 |
| Explaining AI through mechanistic interpretability L Kästner, B Crook European Journal for Philosophy of Science 14 (4), 52, 2024 | 36 | 2024 |
| Integrating mechanistic explanations through epistemic perspectives L Kästner Studies in History and Philosophy of Science Part A 68, 68-79, 2018 | 35 | 2018 |
| Intervening into mechanisms: Prospects and challenges L Kästner, LM Andersen Philosophy Compass 13 (11), e12546, 2018 | 27 | 2018 |
| The where and what of cognition: The untenability of cognitive agnosticism and the limits of the Motley Crew Argument S Walter, L Kästner Cognitive Systems Research 13 (1), 12-23, 2012 | 25 | 2012 |
| Discovering patterns: On the norms of mechanistic inquiry L Kästner, P Haueis Erkenntnis 86 (6), 1635-1660, 2021 | 21 | 2021 |
| The Enigmatic Metallothioneins: A Case of Upward-Looking Research AY Abdin, C Jacob, L Kästner International Journal of Molecular Sciences 22 (11), 5984, 2021 | 18 | 2021 |
| Mapping the potential of explainable artificial intelligence (XAI) for fairness along the AI lifecycle L Deck, A Schomäcker, T Speith, J Schöffer, L Kästner, N Kühl | 15 | 2024 |
| Sources of opacity in computer systems: Towards a comprehensive taxonomy S Mann, B Crook, L Kästner, A Schomäcker, T Speith 2023 IEEE 31st International Requirements Engineering Conference Workshops …, 2023 | 15 | 2023 |
| Integration and the mechanistic triad: Producing, underlying and maintaining mechanistic explanations L Kästner Neural Mechanisms: New Challenges in the Philosophy of Neuroscience, 337-361, 2020 | 9 | 2020 |
| Learning about constitutive relations L Kästner Recent developments in the philosophy of science: EPSA13 Helsinki, 155-167, 2015 | 9 | 2015 |
| Mechanistic inquiry and scientific pursuit: The case of visual processing P Haueis, L Kästner Studies in history and philosophy of science 93, 123-135, 2022 | 7 | 2022 |
| Disambiguating “Mechanisms” in pharmacy: Lessons from mechanist philosophy of science AY Abdin, C Jacob, L Kästner International Journal of Environmental Research and Public Health 17 (6), 1833, 2020 | 7 | 2020 |
| Mapping the Potential of Explainable AI for Fairness Along the AI Lifecycle L Deck, A Schomäcker, T Speith, J Schöffer, L Kästner, N Kühl arXiv preprint arXiv:2404.18736, 2024 | 4 | 2024 |
| Identifying causes in psychiatry L Kästner | 4 | 2018 |
| Don't Fear the Bogeyman: On Why There is No Prediction-Understanding Trade-Off for Deep Learning in Neuroscience L Kästner, B Crook | 3* | 2023 |
