Publikationen (11)


2024 (3)

  • Slany, E., Scheele, S., Schmid, U.
    Explanatory Interactive Machine Learning with Counterexamples from Constrained Large Language Models.
    In: Advances in Artificial Intelligence. KI 2024. Lecture Notes in Computer Science, Springer, Cham.
    DOI: https://doi.org/10.1007/978-3-031-70893-0_26
  • Slany, E., Scheele, S., Schmid, U.
    Hybrid Explanatory Interactive Machine Learning for Medical Diagnosis.
    In: Artificial Intelligence Applications and Innovations. AIAI 2024. IFIP Advances in Information and Communication Technology, Springer, Cham.
    DOI: https://doi.org/10.1007/978-3-031-63211-2_9
  • Harbarth, L., Gößwein, E., Bodemer, D., & Schnaubert, L.
    (Over)Trusting AI Recommendations: How System and Person Variables Affect Dimensions of Complacency.
    In: International Journal of Human–Computer Interaction.
    DOI: https://doi.org/10.1080/10447318.2023.2301250

2023 (6)

  • Heidrich, L. and Slany, E. and Scheele, S. and Schmid, U.
    Understanding the Why and How of Trustworthy AI.
    In: Smart Sensing Insights Blog.
  • Harbarth, L., Weisenberger, C., Bodemer, D. and Schnaubert, L.
    Designing for human-AI collaboration: The effects of elaborateness and adaptability of explanations
    In: 20th Biennial Conference of the European Association of Research on Learning and Instruction (EARLI), Thessaloniki, Greece.
  • Becks, Eileen and Josten, Malte and Matkovic, Viktor and Weis, Torben
    Revising Poor Man's Eye Tracker For Crowd-Sourced Studies
    In: 21nd IEEE International Conference on Pervasive Computing and Communications (PerCom 2023)
    DOI: 10.1109/PerComWorkshops56833.2023.10150386
  • Harbarth, L., Bodemer, D. and Schnaubert, L.
    Elaborateness of explanations to understand AI recommendations
    In: Proceedings of the 17th International Conference of the Learning Sciences - ICLS 2023 (pp. 1827-1828). International Society of the Learning Sciences.
  • Heidrich, L. and Slany, E. and Scheele, S. and Schmid, U.
    FairCaipi: A Combination of Explanatory Interactive and Fair Machine Learning for Human and Machine Bias Reduction
    In: Mach. Learn. Knowl. Extr. 2023
    DOI: https://doi.org/10.3390/make5040076
  • Emanuel Slany and Stephan Scheele and Ute Schmid
    Bayesian CAIPI: A Probabilistic Approach to Explanatory Interactive Machine Learning. European Conference on Artificial Intelligence
    In: ECAI Workshop Proceedings. ECAI 2023. to appear

2022 (2)

  • Wirth, C. and Schmid, U., Voget, S.
    Humanzentrierte Künstliche Intelligenz: Erklärendes interaktives maschinelles Lernen für Effizienzsteigerung von Parametrieraufgaben
    In: Maglogiannis, I., Iliadis, L., Macintyre, J., Cortez, P. (eds) Artificial Intelligence Applications and Innovations. AIAI 2022 IFIP WG 12.5 International Workshops. AIAI 2022. IFIP Advances in Information and Communication Technology, vol 652. Springer, Cham.
    DOI: https://doi.org/10.1007/978-3-662-64408-9_7
  • Emanuel Slany and Yannik Ott and Stephan Scheele and Jan Paulus and Ute Schmid
    CAIPI in Practice: Towards Explainable Interactive Medical Image Classification
    In: Hartmann, E.A. (eds) Digitalisierung souverän gestalten II. Springer Vieweg, Berlin, Heidelberg.
    DOI: https://doi.org/10.1007/978-3-031-08341-9_31

Talks

  • hKI/VDI, Künstliche Intelligenz in der chemischen Industrie: Menschengerechte Gestaltung durch die Sozialpartner, LABOR.A.
  • Prof. Dr.-Ing. Torben Weis, Menschzentrierte KI in der Industrie. Plattform Lernende Systeme: Plattform für Künstliche Intelligenz, 16. Oktober 2023.
  • Slany, E. PHAL Post-Hoc model Approximation with Logic. Nordic Probabilistic AI Summer School 2023. Trondheim (Norway), 15 June 2023.
  • Schmid, U. Keynote AIC. Genua (Italy), 14-16 December 2023.
  • Schmid, U. Eröffnungs-Keynote Trustworthy AI, DAAD-Netzwerktreffen, IFI Programm. Berlin (Germany), 24 November 2023.
  • Schmid, U. Keynote auf der KI 2023 (46th German Conference on Artificial Intelligence): Near-miss Explanations to Teach Humans and Machines. Berlin (Germany), 29 September 2023.
  • Schmid, U. From the Deep Learning Hype to the Generative AI Buzz - Can we keep control? Keynote Tech Days Munich. Munich (Germany), 26-27 June 2023.
  • Schmid, U. Explicit and implicit knowledge injection for human-in-the-loop machine learning, Biweekly AI, Porsche digital. 15 February 2023.
  • Schmid, U. Invited Talk Near-miss Explanations to Teach Humans and Machines, Workshop Machine Teaching for Humans: Rethinking Example-Based Explanations (MT4H-2023). Funchal (Madeira), 12-13 January 2023.
  • Schmid, U., Slany, E., Scheele, S. Hybrid, Explantory, Interactive Machine Learning - Towards Human-AI Partnerships. Airbus Tech Talk. 21 November 2022.
  • Schmid, U. Hybrid, Explantory, Interactive Machine Learning - Towards Human-AI Partnerships, Explainable AI and Society Lecture Series. Bayreuth/Dortmund/Saarbrücken (Germany), 17 November 2022.
  • Slany, E. Explainable Gaussian Process Regression with Probabilistic Influence and Logic. Heinz-Nixdorf Symposium 2022. Paderborn (Germany), 15 September 2022.
  • Slany, E. CAIPI in Practice: Towards Explainable Interactive Medical Image Classification. Heinz-Nixdorf Symposium 2022. Paderborn (Germany), 16 September 2022.
  • Schmid, U. Hybrid, Explanatory, Interactive Machine Learning - Towards Trustworthy Human-AI Partnerships. Keynote at the 8th International Workshop on Artificial Intelligence and Cognition. Oerbro (Sweden), 14 to 17 June 2022.
  • Schmid, U. Hybrid AI for Comprehensible, Fair, and Robust Machine Learning. 1st French-German dialogue on Perspectives on Ethics of Artificial Intelligence. Sorbonne Center for Artificiel Intelligence (SCAI). Paris (France), 2-3 June 2022.
  • Schmid, U. Reconciling knowledge-based and data-driven AI for human-in-the-loop machine learning. Colloquium SFB 876. TU Dortmund. Dortmund (Germany), 21 March 2022.
  • Schmid, U. Menschzentrierte und nachhaltige KI in der Produktion der Zukunft. Eröffnung Cleantech Innovation Park. Bamberg (Germany), 23 February 2022.
  • Schmid, U. Hybrid, Explantory, Interactive Machine Learning - Towards Human-AI Partnerships. Roundtable Next Generation AI, Topic IV: Social Aspects of AI. CAS LMU Next Generation AI. 18 February 2022.
  • Slany, E., Zusammenarbeit von Mensch und Künstlicher Intelligenz in der Chemieindustrie. Interview mit fazit (FAZ content hub), 10 Oktober 2024 (to appear)