Publications
My Google Scholar profile can be found here
2024
Fabian Offert, “Maschineninterpretation mit Interpretationsmaschinen. Explainable Artificial Intelligence als bildgebendes Verfahren und bildwissenschaftliches Problem”, Bildwelten des Wissens 19: Bilder unter Verdacht
Thorsten Ries, Karina van Dalen-Oskam, and Fabian Offert, “Reproducibility and Explainability in Digital Humanities”, International Journal for Digital Humanities
Fabian Offert, Peter Bell, “imgs.ai. A Multimodal Search Engine for Digital Art History”, International Journal for Digital Art History (forthcoming)
Fabian Offert, “On the Concept of History (in Foundation Models)”, in: Thinking with AI, ed. by Hannes Bajohr, Open Humanities Press (forthcoming)
Fabian Offert, “Five Theses on the End of AI Art”, in: (Un-)learn AI – Approaching AI in Aesthetic Practices (forthcoming)
Fabian Offert and Peter Bell, “Manufacturing Visual Continuity. Generative Methods in the Digital Humanities”, in: Debates in the Digital Humanities: Computational Humanities (forthcoming)
2023
Fabian Offert and Thao Phan, “A Sign That Spells: DALL-E 2, Invisual Images and The Racial Politics of Feature Space”, arXiv preprint
Fabian Offert and Leonardo Impett, “There Is a Digital Art History”, arXiv preprint
Fabian Offert, “KI und bildenden Kunst”, in: De Gruyter Handbuch KI und die Künste, ed. by Stephanie Catani and Jasmin Pfeiffer
Fabian Offert, “The Meaning Trap”, in: ChatGPT und andere “Quatschmaschinen”. Gespräche mit Künstlicher Intelligenz, ed. by Anna Tuschling, Andreas Sudmann, Bernhard J. Dotzler, transcript
Fabian Offert, “On the Concept of History (in Foundation Models)”, IMAGE: Zeitschrift für interdisziplinäre Bildwissenschaft 37
Fabian Offert, “KI-Kunst als Skulptur”, in: KI-Realitäten. Modelle, Praktiken und Topologien des Maschinellen Lernens, ed. by Richard Groß and Rita Jordan, transcript
Fabian Offert, “Can We Read Neural Networks? Epistemic Implications of two Historical Computer Science Papers”, American Literature
2021
Fabian Offert, “Latent Deep Space: Generative Adversarial Networks (GANs) in the Sciences”, Media+Environment 3(2)
Peter Bell and Fabian Offert, “Reflections on Connoisseurship and Computer Vision”, Journal of Art Historiography
Fabian Offert and Peter Bell, “Perceptual Bias and Technical Metapictures. Critical Machine Vision as a Humanities Challenge”, AI & Society
2020
Fabian Offert and Peter Bell, “Generative Digital Humanities”, in: Proceedings of the CHR 2020: Workshop on Computational Humanities Research
Fabian Offert, Peter Bell, “Understanding Perceptual Bias in Machine Vision Systems”, in: Methoden und Anwendungen der Computational Humanities, Lecture Notes in Informatics (LNI), ed. by Manuel Burghardt and Claudia Müller-Birn
Fabian Offert, “Critical Machine Vision. Epistemology and Aesthetics of Deep Convolutional Neural Networks”, dissertation, University of California, Santa Barbara
Fabian Offert, “Hands on Circuits. Preserving the Semantic Surplus of Circuit-Level Functionality with Programmable Logic Devices”, in: Hands on Media History, ed. by John Ellis and Nick Hall, London: Routledge
2019
Fabian Offert, “The Past, Present, and Future of AI Art”, The Gradient / Skynet Today
2018
Fabian Offert, “Images of Image Machines. Visual Interpretability in Computer Vision for Art”, in: Proceedings of the European Conference on Computer Vision, Springer
Fabian Offert, Teddy Roland, and Devin Cornell, “Word Embeddings for Restricted Access Corpora”, WE1S Research Blog
2017
Fabian Offert, “I know it when I see it. Visualization and Intuitive Interpretability”, in: Proceedings of NIPS 2017 Symposium on Interpretable Machine Learning
2015
Fabian Offert, “Conceptual Superposition. The Aesthetics of Quantum Simulation”, in: SIGGRAPH Asia 2015 Art Papers
Fabian Offert, “Beyond the Scenes. Sasha Waltz's Objects and Installations Between Theater and the Visual Arts”, in: Sasha Waltz. Installations, Objects, Performances, ed. by Peter Weibel et. al., Ostfildern: Hatje-Cantz
Fabian Offert, “The Poetic Algorithm or What Happened to Software Art”, in: Open Sources, ed. by Fabian Offert and Juan Manuel Escalante, Santa Barbara: University of California, Santa Barbara
Fabian Offert, “Jonas Mekas on Video”, in: Jonas Mekas: 365 Day Project, ed. by Fabian Offert, Karlsruhe: ZKM | Center for Art and Media
Invited talks
“The Production of (Embedding) Space”, CCCB Barcelona, Spain, 2023
“Computational Iconographies”, Schloss Dagstuhl – Leibniz-Zentrum für Informatik, 2023
“The End of AI Art” (keynote), Goethe-Institut Nigeria, Lagos, 2023
“What Are Large Visual Models Models Of?” (keynote), University of Zurich, 2023
“On the Concept of History (in Foundation Models)”, Art and Algorithms Conference, Ludwig Forum Aachen, 2022
“On the Concept of History (in Foundation Models)”, AI & Humanity Workshop, University of California, Berkeley, 2022
“The End of AI Art” (keynote), Hidden Layers Conference, Technical University Cologne, 2022
“Close Reading Distant Viewing”, Cologne University, 2022
“On Machine Learning and Concreteness”, HU Berlin, 2021
“Art and Performance in the Age of AI”, Goethe-Institut Budapest, 2021
“Exploring Cultural Heritage with Computer Vision”, German National Library, Leipzig, 2021
“Latent Deep Space: GANs between Art and Science” (keynote), Images of Machine Learning Symposium, UNSW Sydney, 2021
“Maschinensehen als Wahrnehmungsarbeit”, Peter Behrens School of the Arts, Düsseldorf, 2021
“Close Reading Distant Viewing”, Machine Vision’s Visions Round Table, University of Lucerne, Switzerland, 2021
“Close Reading Distant Viewing”, University of California, Berkeley, 2021
“Standardizing (CNN) Feature Vectors?”, University of Geneva, 2021
“Le corps halluciné” (keynote), Gaité Lyrique, Paris, 2021
“The Epistemology of Machine Learning in Digital Art History”, Centre d'Histoire et de Théorie des Arts (CEHTA) at EHESS, Paris, 2021
“Visual Culture and Artificial Intelligence”, Trier University, 2020
“Critical Machine Vision as a (Digital) Humanities Challenge”, University of Texas, Austin, 2020
“The Best Sense Organs That Money Can Buy. Deep Neural Networks as Image-Making Machines”, Hebrew University of Jerusalem, 2020
“Hallucinating Science with Neural Networks”, transmediale Berlin, 2020
”Invention as Discovery. Synthetic Images in Science and Art”, Image Servitude, Karlsruhe University of Arts and Design, 2019
”Learning Physics with Computers. Synthetic Image Data as a ‘New’ New Medium in Science and Art”, Modeling the Pacific, University of California, Santa Barbara, 2019
”Notes on the Aesthetics of Artificial Intelligence”, Exploring Edges: International Colloquium on the Digital Humanities, Architecture, Artistic Research, and Criticial Technical Practice, EPFL Lausanne, 2017