@article{62031, abstract = {{The field of fair AI aims to counter biased algorithms through computational modelling. However, it faces increasing criticism for perpetuating the use of overly technical and reductionist methods. As a result, novel approaches appear in the field to address more socially-oriented and interdisciplinary (SOI) perspectives on fair AI. In this paper, we take this dynamic as the starting point to study the tension between computer science (CS) and SOI research. By drawing on STS and CSCW theory, we position fair AI research as a matter of 'organizational alignment': what makes research 'doable' is the successful alignment of three levels of work organization (the social world, the laboratory, and the experiment). Based on qualitative interviews with CS researchers, we analyze the tasks, resources, and actors required for doable research in the case of fair AI. We find that CS researchers engage with SOI research to some extent, but organizational conditions, articulation work, and ambiguities of the social world constrain the doability of SOI research for them. Based on our findings, we identify and discuss problems for aligning CS and SOI as fair AI continues to evolve.}}, author = {{Fahimi, Miriam and Russo, Mayra and Scott, Kristen M. and Vidal, Maria-Esther and Berendt, Bettina and Kinder-Kurlanda, Katharina}}, issn = {{2573-0142}}, journal = {{Proceedings of the ACM on Human-Computer Interaction}}, number = {{CSCW2}}, pages = {{1--23}}, publisher = {{Association for Computing Machinery (ACM)}}, title = {{{Articulation Work and Tinkering for Fairness in Machine Learning}}}, doi = {{10.1145/3686973}}, volume = {{8}}, year = {{2024}}, } @inbook{62228, abstract = {{This chapter highlights the intricate nature of data and their profound social implications. It examines the acts of rendering data visible and the inherent power dynamics and imbalances that accompany such processes. Our dialogue unfolds in three interconnected parts, each focusing on the intersection of in/visibility and power. Part 1 attends to the challenges of producing knowledge about and with data, emphasizing the relativity, fluidity, and instability inherent in data. It explores frameworks that uncover the often invisible infrastructures of algorithms, rendering visible the actors, technologies, and divergent values involved in data manipulation. Part 2 presents empirical case studies that analyse the consequences of data visibility while contemplating the methodological opportunities and challenges of foregrounding the embedded values and norms within data. Part 3 discusses tool-based interventions aimed at bringing alternative data framings and narratives to the fore. It examines the complexities of tracing data across various contexts and the value, utility, and obstacles associated with creating visual representations of data and their flows. By critically engaging with the complexities of data in/visibility, this chapter challenges existing gatekeepers and fosters a deeper understanding of the multifaceted nature of data and its socio-political ramifications.}}, author = {{Fahimi, Miriam and Falk, Petter and Gray, Jonathan W. Y. and Jarke, Juliane and Kinder-Kurlanda, Katharina and Light, Evan and McGeachey, Ellouise and Perea, Itzelle Medina and Poechhacker, Nikolaus and Poirier, Lindsay and Röhle, Theo and Sharon, Tamar and Stevens, Marthe and Gastel, Bernard van and White, Quinn and Zakharova, Irina}}, booktitle = {{Dialogues in Data Power}}, isbn = {{978-1-5292-3832-7}}, pages = {{52–79}}, publisher = {{Bristol University Press}}, title = {{{In/visibilities in Data Studies: Methods, Tools, and Interventions}}}, year = {{2024}}, } @inbook{62230, abstract = {{Algorithms have risen to become one, if not the central technology for producing, circulating, and evaluating knowledge in multiple societal arenas. In this book, scholars from the social sciences, humanities, and computer science argue that this shift has, and will continue to have, profound implications for how knowledge is produced and what and whose knowledge is valued and deemed valid. To attend to this fundamental change, the authors propose the concept of algorithmic regimes and demonstrate how they transform the epistemological, methodological, and political foundations of knowledge production, sensemaking, and decision-making in contemporary societies. Across sixteen chapters, the volume offers a diverse collection of contributions along three perspectives on algorithmic regimes: the methods necessary to research and design algorithmic regimes, the ways in which algorithmic regimes reconfigure sociotechnical interactions, and the politics engrained in algorithmic regimes.}}, author = {{Kinder-Kurlanda, Katharina and Fahimi, Miriam}}, booktitle = {{Algorithmic Regimes. Methods, Interactions, and Politics.}}, editor = {{Jarke, Juliane and Prietl, Bianca and Egbert, Simon and Boeva, Yana and Heuer, Hendrik and Arnold, Maike}}, isbn = {{978-94-6372-848-5}}, pages = {{309–330}}, publisher = {{Amsterdam University Press}}, title = {{{Making Algorithms Fair: Ethnographic Insights from Machine Learning Interventions}}}, year = {{2024}}, } @inproceedings{57172, author = {{Reijers, Wessel and Matzner, Tobias and Alpsancar, Suzana and Philippi, Martina}}, booktitle = {{Smart Ethics in the Digital World: Proceedings of the ETHICOMP 2024. 21th International Conference on the Ethical and Social Impacts of ICT. Universidad de La Rioja, 2024.}}, title = {{{AI explainability, temporality, and civic virtue}}}, year = {{2024}}, } @inproceedings{56217, author = {{Alpsancar, Suzana and Matzner, Tobias and Philippi, Martina}}, booktitle = {{Smart Ethics in the Digital World: Proceedings of the ETHICOMP 2024. 21th International Conference on the Ethical and Social Impacts of ICT}}, pages = {{31--35}}, publisher = {{Universidad de La Rioja}}, title = {{{Unpacking the purposes of explainable AI}}}, year = {{2024}}, } @book{57762, editor = {{Alpsancar, Suzana and Friedrich, Alexander and Gehring, Petra and Kaminski, Andreas and Nordmann, Alfred}}, publisher = {{Nomos}}, title = {{{Der Sog des Neuen (und der Schock des Alten). Jahrbuch Technikphilosophie 2024}}}, year = {{2024}}, } @book{55868, editor = {{Adolphi, Rainer and Hahn, Susanne and Kettner, Matthias}}, isbn = {{978-3-8376-7497-2}}, pages = {{464}}, publisher = {{transcript}}, title = {{{Philosophische Digitalisierungsforschung Verantwortung, Verständigung, Vernunft, Macht}}}, year = {{2024}}, } @book{58692, editor = {{Alpsancar, Suzana}}, isbn = {{ISBN 978-3-7560-1830-7}}, publisher = {{Nomos}}, title = {{{ Der Sog des Neuen und der Schock des Alten Jahrbuch Technikphilosophie 2024 }}}, volume = {{10. Jahrgang}}, year = {{2024}}, } @inproceedings{60826, author = {{Philippi, Martina}}, booktitle = {{TA24}}, location = {{ÖAW Wien}}, title = {{{Von der Kunst, die richtigen Fragen zu stellen. Das Potential der Phänomenologie für die Technikfolgenabschätzung}}}, year = {{2024}}, } @inproceedings{60825, author = {{Philippi, Martina and Mindlin, Dimitry}}, booktitle = {{EASST-4S}}, location = {{VU Amsterdam}}, title = {{{Dealing responsibly with tacit assumptions. An interdisciplinary approach to the integration of ethical reflexion into user modeling}}}, year = {{2024}}, } @inproceedings{60824, author = {{Philippi, Martina}}, booktitle = {{fpet2024}}, location = {{ZKM Karlsruhe}}, title = {{{How to address ethical problems in a multi-perspective context: Interdisciplinary challenges of XAI}}}, year = {{2024}}, } @inproceedings{60829, author = {{Philippi, Martina and Reijers, Wessel}}, location = {{Paderborn}}, title = {{{Ethics of Explainable AI}}}, year = {{2024}}, } @inproceedings{60827, author = {{Philippi, Martina}}, location = {{Paderborn}}, title = {{{Dual-use potential in humanitarian UAVs}}}, year = {{2024}}, } @misc{60831, author = {{Philippi, Martina}}, title = {{{Interdisciplinary challenges for XAI ethics and the potential of the phenomenological approach. Gastvortrag am Eindhoven Center for the Philosophy of AI (ECPAI), TU Eindhoven, 25. Juni 2024.}}}, year = {{2024}}, } @misc{60830, author = {{Philippi, Martina}}, title = {{{(X)AI ethics for decision support systems. Gastvortrag am DLR Institut für den Schutz maritimer Infrastrukturen, Bremerhaven, 14. November 2024.}}}, year = {{2024}}, } @inproceedings{60823, author = {{Philippi, Martina}}, booktitle = {{NTA11}}, location = {{Berlin}}, title = {{{Herausforderungen und Potentiale von erklärbarer KI für Technikfolgenabschätzung und Politikberatung}}}, year = {{2024}}, } @inproceedings{60822, author = {{Philippi, Martina}}, booktitle = {{SAS24}}, location = {{HLRS Stuttgart}}, title = {{{Transparency and persuasion: Chances and Risks of Explainable AI applications in modeling for policy}}}, year = {{2024}}, } @book{48804, abstract = {{Selbstverständlichkeiten in Verständlichkeiten überführen – dies ist das Credo der Phänomenologie Husserls. Ein zentrales Anliegen des phänomenologischen Programms ist es, die „vermeintlichen Selbstverständlichkeiten“ des Positivismus aufzudecken und zu klären; zugleich gibt Selbstverständlichkeit Anlass zu inhaltlichen Analysen, denn sie fungiert als Geltungsmodus des alltäglichen Lebensvollzugs, gespiegelt im Sinnbild von Boden und Horizont der Lebenswelt. Die Studie stellt Geltung, Einstellung und Perspektivwechsel als jene begrifflichen Werkzeuge heraus, mit denen Husserl dieses schwer greifbare Phänomen systematisch erschließt und methodisch wie inhaltlich in die Spannungsfelder von Theorie und Praxis, Doxa und Episteme, Lebenswelt und Wissenschaft einbettet. Darüber hinaus ergänzt sie mit dem psychopathologischen Ansatz Wolfgang Blankenburgs, was die Beschreibungsmacht der Phänomenologie an ihre Grenzen bringt: die Erfahrung der Selbstverständlichkeit im Lebensvollzug. }}, author = {{Philippi, Martina}}, isbn = {{978-3-8467-6726-9}}, keywords = {{Selbstverständlichkeit, Husserl, Phänomenologie}}, pages = {{220+XVI}}, publisher = {{Brill, Fink}}, title = {{{Selbstverständlichkeit und Problematisierung. Husserls Programm der Phänomenologie}}}, volume = {{40}}, year = {{2023}}, } @book{48365, abstract = {{

With the focus topic “The Human Factor”, the Jahrbuch Technikphilosophie 2023 aims to investigate on the one hand the manifold arrangements of the deficiency in the technical field (and especially “new” technologies): How do machine worlds, user interfaces, implementation strategies, or even entire large-scale technological ecosystems model, compensate, and even parody “the” human being – that is, “their” version of ourselves? How does technology discriminate? How does it educate? To what extent can it “reduce” the human? On the other hand, it is necessary to take a new look at what “human” actually means in precisely this context, and to reexamine anthropology as part of theories of technology and discourses on technology. Criticism of technology must therefore also be criticism of man. With contributions by Fabian Anicker, Petra Gehring, Axel Gelfert, Martina Heßler, Andreas Kaminski, Ruth Karl, Katerina Krtilova, Joachim Landkammer, Kevin Liggieri, Felix Maschewski, Nicola Mößner, Anna-Verena Nosthoff, Felix Reda, Jean Paul Sartre, Björn Schembera, Stefan Schöberlein, Marcel Siegler, Florian Sprenger and Martin Warnke.

}}, editor = {{Alpsancar, Suzana and Friedrich, Alexander and Gehring, Petra and Hubig, Christoph and Kaminski, Andreas and Nordmann, Alfred}}, isbn = {{9783748941767}}, publisher = {{Nomos}}, title = {{{Faktor Mensch. Jahrbuch Technikphilosophie 2023}}}, doi = {{10.5771/9783748941767}}, year = {{2023}}, } @inproceedings{44853, author = {{Alpsancar, Suzana}}, booktitle = {{International Conference on Computer Ethics 2023}}, location = {{Chicago, Illinois}}, number = {{1}}, pages = {{1----17}}, title = {{{What is AI Ethics? Ethics as means of self-regulation and the need for critical reflection }}}, volume = {{1}}, year = {{2023}}, }