Benjamin, Jesse Josua, Christoph Kinkeldey, Claudia Müller-Birn, Tim Korjakow, and Eva-Maria Herbst. 2022. ‘Explanation Strategies as an Empirical-Analytical Lens for Socio-Technical Contextualization of Machine Learning Interpretability’. Proceedings of the ACM on Human-Computer Interaction 6 (GROUP): 39:1-39:25. https://doi.org/10.1145/3492858.
Benjamin, Jesse Josua. Forthcoming. ‘Three Post-Phenomenological Design Projects on and with ML Technologies as Philosophy-in-Practice’. Accepted to IASDR ’22.
Benjamin, Jesse Josua, Arne Berger, Nick Merrill, and James Pierce. 2021. ‘Machine Learning Uncertainty as a Design Material: A Post-Phenomenological Inquiry’. In Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems, 1–14. CHI ’21. New York, NY, USA: Association for Computing Machinery. https://doi.org/10.1145/3411764.3445481.
Benjamin, Jesse Josua. 2021. ‘The Spark of a Future Anterior: An Archaeology of Entoptic Media’. ŠUM Journal for Contemporary Art Criticism and Theory, no. 16: 2172–84. https://www.sum.si/journal-articles/the-spark-of-a-future-anterior-an-archaeology-of-entoptic-media.
Benjamin, Jesse Josua, and Claudia Müller-Birn. 2019. ‘Materializing Interpretability: Exploring Meaning in Algorithmic Systems’. In Companion Publication of the 2019 on Designing Interactive Systems Conference 2019 Companion, 123–27. DIS ’19 Companion. San Diego, CA, USA: Association for Computing Machinery. https://doi.org/10.1145/3301019.3323900.
Kinkeldey, Christoph, Tim Korjakow, and Jesse Josua Benjamin. 2019. ‘Towards Supporting Interpretability of Clustering Results with Uncertainty Visualization’. In EuroVis Workshop on Trustworthy Visualization. The Eurographics Association. https://doi.org/10.2312/trvis.20191183.
Benjamin, Jesse Josua. 2016. Form, Function, Contagion –Seeking the Remainder of Networked Media. MRes Thesis, University of Brighton.