[{"date_created":"2026-03-19T10:59:18Z","department":[{"_id":"26"},{"_id":"756"}],"type":"book_chapter","publication":"Social Explainable AI","abstract":[{"lang":"eng","text":"<jats:title>Abstract</jats:title>\r\n                  <jats:p>\r\n                    One of the purposes for which XAI is often brought into play is to enable a user to act responsibly. However, responsibility is a complex normative and social phenomenon that we unfold in this chapter. We consider that the classical concepts of agency and responsibility do not fully capture what is needed for meaningful collaboration between human users and XAI. Advocating the perspective of sXAI, we argue that the growing adaptivity of AI systems will result in sXAI being considered as partners. Both partners adopt particular (dialogical) roles within a collaborative process and take responsibility for them. We expect that these roles lead to reactive attitudes toward the sXAI on the side of the human partners that make these roles relational. They resemble those reactive attitudes that we hold toward other human agents. For agents to exercise their responsibility, they need to possess agential capacities to fulfill their role with respect to the structure of a social interaction. Hence, sXAI can be expected to act responsibly. But because of XAI’s limited normative capacities, it might rather act as a marginal agent. We refer to marginal agents and show they can be scaffolded with regard to their agential capacities and their knowledge about the structure of a social interaction. The structure links the actions of the partners to each other in terms of a set of stimuli and responses to it in pursuit of a particular goal. Hence, it is important to differentiate between the different goals that a structure can impose for exercising responsibility. Therefore, we follow (Responsibility from the margins. Oxford University Press; 2015.\r\n                    <jats:ext-link xmlns:xlink=\"http://www.w3.org/1999/xlink\" xlink:href=\"https://doi.org/10.1093/acprof:oso/9780198715672.24001.0001\" ext-link-type=\"uri\">https://doi.org/10.1093/acprof:oso/9780198715672.24001.0001</jats:ext-link>\r\n                    ) and offer three structures that can help to organize responsibility for\r\n                    <jats:italic>decisions made</jats:italic>\r\n                    with the assistance of AI systems. These structures are attributability, answerability, and accountability. Our insights will inform the development and design process of XAI to meet the guiding principles of responsible research and innovation as well as trustworthy AI.\r\n                  </jats:p>"}],"language":[{"iso":"eng"}],"main_file_link":[{"url":"https://doi.org/10.1007/978-981-96-5290-7_9","open_access":"1"}],"doi":"10.1007/978-981-96-5290-7_9","publication_identifier":{"isbn":["9789819652891","9789819652907"]},"author":[{"id":"50352","last_name":"Rohlfing","first_name":"Katharina J.","orcid":"0000-0002-5676-8233","full_name":"Rohlfing, Katharina J."},{"id":"93637","last_name":"Alpsancar","first_name":"Suzana","full_name":"Alpsancar, Suzana"},{"full_name":"Schulte, Carsten","first_name":"Carsten","last_name":"Schulte","id":"60311"}],"title":"Responsibilities in sXAI","year":"2026","date_updated":"2026-03-19T11:53:01Z","publication_status":"published","place":"Singapore","oa":"1","citation":{"mla":"Rohlfing, Katharina J., et al. “Responsibilities in SXAI.” <i>Social Explainable AI</i>, Springer Nature Singapore, 2026, pp. 157–77, doi:<a href=\"https://doi.org/10.1007/978-981-96-5290-7_9\">10.1007/978-981-96-5290-7_9</a>.","bibtex":"@inbook{Rohlfing_Alpsancar_Schulte_2026, place={Singapore}, title={Responsibilities in sXAI}, DOI={<a href=\"https://doi.org/10.1007/978-981-96-5290-7_9\">10.1007/978-981-96-5290-7_9</a>}, booktitle={Social Explainable AI}, publisher={Springer Nature Singapore}, author={Rohlfing, Katharina J. and Alpsancar, Suzana and Schulte, Carsten}, year={2026}, pages={157–177} }","ama":"Rohlfing KJ, Alpsancar S, Schulte C. Responsibilities in sXAI. In: <i>Social Explainable AI</i>. Springer Nature Singapore; 2026:157-177. doi:<a href=\"https://doi.org/10.1007/978-981-96-5290-7_9\">10.1007/978-981-96-5290-7_9</a>","ieee":"K. J. Rohlfing, S. Alpsancar, and C. Schulte, “Responsibilities in sXAI,” in <i>Social Explainable AI</i>, Singapore: Springer Nature Singapore, 2026, pp. 157–177.","apa":"Rohlfing, K. J., Alpsancar, S., &#38; Schulte, C. (2026). Responsibilities in sXAI. In <i>Social Explainable AI</i> (pp. 157–177). Springer Nature Singapore. <a href=\"https://doi.org/10.1007/978-981-96-5290-7_9\">https://doi.org/10.1007/978-981-96-5290-7_9</a>","short":"K.J. Rohlfing, S. Alpsancar, C. Schulte, in: Social Explainable AI, Springer Nature Singapore, Singapore, 2026, pp. 157–177.","chicago":"Rohlfing, Katharina J., Suzana Alpsancar, and Carsten Schulte. “Responsibilities in SXAI.” In <i>Social Explainable AI</i>, 157–77. Singapore: Springer Nature Singapore, 2026. <a href=\"https://doi.org/10.1007/978-981-96-5290-7_9\">https://doi.org/10.1007/978-981-96-5290-7_9</a>."},"project":[{"_id":"109","name":"TRR 318: Erklärbarkeit konstruieren"},{"_id":"370","name":"TRR 318; TP B06: Ethik und Normativität der erklärbaren KI"}],"publisher":"Springer Nature Singapore","_id":"65061","page":"157-177","user_id":"93637","status":"public"},{"type":"book_chapter","department":[{"_id":"26"},{"_id":"756"}],"date_created":"2026-03-19T11:03:30Z","abstract":[{"text":"<jats:title>Abstract</jats:title>\r\n                  <jats:p>\r\n                    This chapter critically examines how social explainable AI (sXAI) can better support AI practitioners in ensuring fairness in AI-based decision-making. We argue for a fundamental shift: Fairness should be understood not as a technical property or an information problem, but as a matter of vulnerability—focusing on the real-world impacts of AI on individuals and groups, especially those most at risk. Hereby, we call for a shift in perspective: from fair AI to\r\n                    <jats:italic>tasking AI fairly</jats:italic>\r\n                    . To motivate our vulnerability approach, we review the “Dutch welfare fraud scandal” (system risk indication—SyRI) and current challenges in the field of fair AI/machine learning (ML). Vulnerability of a person or members of a definable group of persons is a complex relational notion, and not a technical property of a technical system. Accordingly, we suggest several nontechnical strategies that hold the promise to compensate for the insufficiency of purely technical approaches to fairness and other ethical issues in the practical use of AI-based systems. To discuss how sXAI, due to its interactive and adaptive social character, might better fulfill this role than current XAI techniques, we provide a toy scenario for how sXAI might support the virtuous AI practitioner in an ethical inquiry. Finally, we also address challenges and limits of our approach.\r\n                  </jats:p>","lang":"eng"}],"publication":"Social Explainable AI","doi":"10.1007/978-981-96-5290-7_29","main_file_link":[{"url":"https://doi.org/10.1007/978-981-96-5290-7_29","open_access":"1"}],"language":[{"iso":"eng"}],"publication_status":"published","date_updated":"2026-03-19T11:53:42Z","title":"Tasking AI Fairly. How to Empower AI Practitioners With sXAI?","year":"2026","author":[{"last_name":"Alpsancar","first_name":"Suzana","full_name":"Alpsancar, Suzana","id":"93637"},{"full_name":"Stamboliev, Eugenia","first_name":"Eugenia","last_name":"Stamboliev"}],"publication_identifier":{"isbn":["9789819652891","9789819652907"]},"oa":"1","place":"Singapore","project":[{"_id":"370","name":"TRR 318; TP B06: Ethik und Normativität der erklärbaren KI"}],"citation":{"ieee":"S. Alpsancar and E. Stamboliev, “Tasking AI Fairly. How to Empower AI Practitioners With sXAI?,” in <i>Social Explainable AI</i>, Singapore: Springer Nature Singapore, 2026, pp. 557–581.","apa":"Alpsancar, S., &#38; Stamboliev, E. (2026). Tasking AI Fairly. How to Empower AI Practitioners With sXAI? In <i>Social Explainable AI</i> (pp. 557–581). Springer Nature Singapore. <a href=\"https://doi.org/10.1007/978-981-96-5290-7_29\">https://doi.org/10.1007/978-981-96-5290-7_29</a>","mla":"Alpsancar, Suzana, and Eugenia Stamboliev. “Tasking AI Fairly. How to Empower AI Practitioners With SXAI?” <i>Social Explainable AI</i>, Springer Nature Singapore, 2026, pp. 557–81, doi:<a href=\"https://doi.org/10.1007/978-981-96-5290-7_29\">10.1007/978-981-96-5290-7_29</a>.","bibtex":"@inbook{Alpsancar_Stamboliev_2026, place={Singapore}, title={Tasking AI Fairly. How to Empower AI Practitioners With sXAI?}, DOI={<a href=\"https://doi.org/10.1007/978-981-96-5290-7_29\">10.1007/978-981-96-5290-7_29</a>}, booktitle={Social Explainable AI}, publisher={Springer Nature Singapore}, author={Alpsancar, Suzana and Stamboliev, Eugenia}, year={2026}, pages={557–581} }","ama":"Alpsancar S, Stamboliev E. Tasking AI Fairly. How to Empower AI Practitioners With sXAI? In: <i>Social Explainable AI</i>. Springer Nature Singapore; 2026:557-581. doi:<a href=\"https://doi.org/10.1007/978-981-96-5290-7_29\">10.1007/978-981-96-5290-7_29</a>","short":"S. Alpsancar, E. Stamboliev, in: Social Explainable AI, Springer Nature Singapore, Singapore, 2026, pp. 557–581.","chicago":"Alpsancar, Suzana, and Eugenia Stamboliev. “Tasking AI Fairly. How to Empower AI Practitioners With SXAI?” In <i>Social Explainable AI</i>, 557–81. Singapore: Springer Nature Singapore, 2026. <a href=\"https://doi.org/10.1007/978-981-96-5290-7_29\">https://doi.org/10.1007/978-981-96-5290-7_29</a>."},"user_id":"93637","page":"557-581","publisher":"Springer Nature Singapore","_id":"65063","status":"public"},{"date_updated":"2026-03-19T11:52:00Z","publication_status":"published","title":"The Risk of Manipulation and Deception in sXAI","year":"2026","publication_identifier":{"isbn":["9789819652891","9789819652907"]},"author":[{"id":"93637","first_name":"Suzana","last_name":"Alpsancar","full_name":"Alpsancar, Suzana"},{"last_name":"Klenk","first_name":"Michael","full_name":"Klenk, Michael"}],"doi":"10.1007/978-981-96-5290-7_30","main_file_link":[{"url":" https://doi.org/10.1007/978-981-96-5290-7_30","open_access":"1"}],"language":[{"iso":"eng"}],"abstract":[{"text":"<jats:title>Abstract</jats:title>\r\n                  <jats:p>XAI can minimize the risks of being manipulated and deceived by AI but in turn entails other specific risks. This also applies to sXAI, and the specifically social character of sXAI harbors particular risks that designers and developers should be aware of. In this chapter, we shall discuss the potential opportunities and risks of sXAI. We see a particularly positive potential in the social character of sXAI, which lies in the fact that skillful users, including those with “healthy distrust,” can use the adaptivity of sXAI to produce an explanation that is actually relevant and adequate for them. However, this requires a high level of skills on the part of the user and is thus in contrast to the general promise of efficiency in the use of AI. A potential risk of XAI is that it can be (even more) persuasive, as the interactive involvement and the anthropomorphism strengthen a trustworthy appearance/performance (independent of the adequacy of the sXAI performance).</jats:p>","lang":"eng"}],"publication":"Social Explainable AI","type":"book_chapter","department":[{"_id":"26"},{"_id":"756"}],"date_created":"2026-03-19T11:05:30Z","status":"public","user_id":"93637","page":"583-616","_id":"65064","publisher":"Springer Nature Singapore","project":[{"_id":"109","name":"TRR 318: Erklärbarkeit konstruieren"},{"_id":"370","name":"TRR 318; TP B06: Ethik und Normativität der erklärbaren KI"}],"citation":{"mla":"Alpsancar, Suzana, and Michael Klenk. “The Risk of Manipulation and Deception in SXAI.” <i>Social Explainable AI</i>, Springer Nature Singapore, 2026, pp. 583–616, doi:<a href=\"https://doi.org/10.1007/978-981-96-5290-7_30\">10.1007/978-981-96-5290-7_30</a>.","bibtex":"@inbook{Alpsancar_Klenk_2026, place={Singapore}, title={The Risk of Manipulation and Deception in sXAI}, DOI={<a href=\"https://doi.org/10.1007/978-981-96-5290-7_30\">10.1007/978-981-96-5290-7_30</a>}, booktitle={Social Explainable AI}, publisher={Springer Nature Singapore}, author={Alpsancar, Suzana and Klenk, Michael}, year={2026}, pages={583–616} }","ama":"Alpsancar S, Klenk M. The Risk of Manipulation and Deception in sXAI. In: <i>Social Explainable AI</i>. Springer Nature Singapore; 2026:583-616. doi:<a href=\"https://doi.org/10.1007/978-981-96-5290-7_30\">10.1007/978-981-96-5290-7_30</a>","ieee":"S. Alpsancar and M. Klenk, “The Risk of Manipulation and Deception in sXAI,” in <i>Social Explainable AI</i>, Singapore: Springer Nature Singapore, 2026, pp. 583–616.","apa":"Alpsancar, S., &#38; Klenk, M. (2026). The Risk of Manipulation and Deception in sXAI. In <i>Social Explainable AI</i> (pp. 583–616). Springer Nature Singapore. <a href=\"https://doi.org/10.1007/978-981-96-5290-7_30\">https://doi.org/10.1007/978-981-96-5290-7_30</a>","short":"S. Alpsancar, M. Klenk, in: Social Explainable AI, Springer Nature Singapore, Singapore, 2026, pp. 583–616.","chicago":"Alpsancar, Suzana, and Michael Klenk. “The Risk of Manipulation and Deception in SXAI.” In <i>Social Explainable AI</i>, 583–616. Singapore: Springer Nature Singapore, 2026. <a href=\"https://doi.org/10.1007/978-981-96-5290-7_30\">https://doi.org/10.1007/978-981-96-5290-7_30</a>."},"oa":"1","place":"Singapore"},{"language":[{"iso":"eng"}],"main_file_link":[{"url":"https://doi.org/10.1007/978-981-96-5290-7_10","open_access":"1"}],"date_updated":"2026-03-19T10:58:47Z","publication_status":"published","author":[{"full_name":"Reijers, Wessel","first_name":"Wessel","last_name":"Reijers","orcid":"0000-0003-2505-1587","id":"102524"},{"first_name":"Suzana","last_name":"Alpsancar","full_name":"Alpsancar, Suzana","id":"93637"}],"year":"2026","title":"Values and Norms in sXAI","department":[{"_id":"26"},{"_id":"756"}],"type":"book_chapter","date_created":"2025-11-30T07:54:44Z","related_material":{"link":[{"relation":"confirmation","url":"https://link.springer.com/book/9789819652891"}]},"publication":"Social explainable AI. Communications of NII Shonan Meetings","editor":[{"last_name":"Rohlfing","first_name":"Katharina","full_name":"Rohlfing, Katharina"},{"first_name":"Kary","last_name":"Främling","full_name":"Främling, Kary"},{"first_name":"Brian","last_name":"Lim","full_name":"Lim, Brian"},{"first_name":"Suzana","last_name":"Alpsancar","full_name":"Alpsancar, Suzana"},{"full_name":"Thommes, Kirsten","first_name":"Kirsten","last_name":"Thommes"}],"user_id":"93637","_id":"62709","publisher":"Springer","page":"179-195","status":"public","oa":"1","place":"Singapore","quality_controlled":"1","citation":{"mla":"Reijers, Wessel, and Suzana Alpsancar. “Values and Norms in SXAI.” <i>Social Explainable AI. Communications of NII Shonan Meetings</i>, edited by Katharina Rohlfing et al., Springer, 2026, pp. 179–95.","ama":"Reijers W, Alpsancar S. Values and Norms in sXAI. In: Rohlfing K, Främling K, Lim B, Alpsancar S, Thommes K, eds. <i>Social Explainable AI. Communications of NII Shonan Meetings</i>. Springer; 2026:179-195.","bibtex":"@inbook{Reijers_Alpsancar_2026, place={Singapore}, title={Values and Norms in sXAI}, booktitle={Social explainable AI. Communications of NII Shonan Meetings}, publisher={Springer}, author={Reijers, Wessel and Alpsancar, Suzana}, editor={Rohlfing, Katharina and Främling, Kary and Lim, Brian and Alpsancar, Suzana and Thommes, Kirsten}, year={2026}, pages={179–195} }","apa":"Reijers, W., &#38; Alpsancar, S. (2026). Values and Norms in sXAI. In K. Rohlfing, K. Främling, B. Lim, S. Alpsancar, &#38; K. Thommes (Eds.), <i>Social explainable AI. Communications of NII Shonan Meetings</i> (pp. 179–195). Springer.","ieee":"W. Reijers and S. Alpsancar, “Values and Norms in sXAI,” in <i>Social explainable AI. Communications of NII Shonan Meetings</i>, K. Rohlfing, K. Främling, B. Lim, S. Alpsancar, and K. Thommes, Eds. Singapore: Springer, 2026, pp. 179–195.","short":"W. Reijers, S. Alpsancar, in: K. Rohlfing, K. Främling, B. Lim, S. Alpsancar, K. Thommes (Eds.), Social Explainable AI. Communications of NII Shonan Meetings, Springer, Singapore, 2026, pp. 179–195.","chicago":"Reijers, Wessel, and Suzana Alpsancar. “Values and Norms in SXAI.” In <i>Social Explainable AI. Communications of NII Shonan Meetings</i>, edited by Katharina Rohlfing, Kary Främling, Brian Lim, Suzana Alpsancar, and Kirsten Thommes, 179–95. Singapore: Springer, 2026."}},{"_id":"65065","publisher":"Springer Nature Singapore","user_id":"93637","editor":[{"full_name":"Rohlfing, Katharina J.","first_name":"Katharina J.","last_name":"Rohlfing","orcid":"0000-0002-5676-8233","id":"50352"},{"last_name":"Främling","first_name":"Kary","full_name":"Främling, Kary"},{"last_name":"Lim","first_name":"Brian","full_name":"Lim, Brian"},{"full_name":"Alpsancar, Suzana","last_name":"Alpsancar","first_name":"Suzana","id":"93637"},{"full_name":"Thommes, Kirsten","first_name":"Kirsten","last_name":"Thommes","id":"72497"}],"status":"public","place":"Singapore","oa":"1","citation":{"mla":"Rohlfing, Katharina J., et al., editors. <i>Social Explainable AI</i>. Springer Nature Singapore, 2026, doi:<a href=\"https://doi.org/10.1007/978-981-96-5290-7_1\">10.1007/978-981-96-5290-7_1</a>.","bibtex":"@book{Rohlfing_Främling_Lim_Alpsancar_Thommes_2026, place={Singapore}, title={Social Explainable AI}, DOI={<a href=\"https://doi.org/10.1007/978-981-96-5290-7_1\">10.1007/978-981-96-5290-7_1</a>}, publisher={Springer Nature Singapore}, year={2026} }","ama":"Rohlfing KJ, Främling K, Lim B, Alpsancar S, Thommes K, eds. <i>Social Explainable AI</i>. Springer Nature Singapore; 2026. doi:<a href=\"https://doi.org/10.1007/978-981-96-5290-7_1\">10.1007/978-981-96-5290-7_1</a>","ieee":"K. J. Rohlfing, K. Främling, B. Lim, S. Alpsancar, and K. Thommes, Eds., <i>Social Explainable AI</i>. Singapore: Springer Nature Singapore, 2026.","apa":"Rohlfing, K. J., Främling, K., Lim, B., Alpsancar, S., &#38; Thommes, K. (Eds.). (2026). <i>Social Explainable AI</i>. Springer Nature Singapore. <a href=\"https://doi.org/10.1007/978-981-96-5290-7_1\">https://doi.org/10.1007/978-981-96-5290-7_1</a>","chicago":"Rohlfing, Katharina J., Kary Främling, Brian Lim, Suzana Alpsancar, and Kirsten Thommes, eds. <i>Social Explainable AI</i>. Singapore: Springer Nature Singapore, 2026. <a href=\"https://doi.org/10.1007/978-981-96-5290-7_1\">https://doi.org/10.1007/978-981-96-5290-7_1</a>.","short":"K.J. Rohlfing, K. Främling, B. Lim, S. Alpsancar, K. Thommes, eds., Social Explainable AI, Springer Nature Singapore, Singapore, 2026."},"project":[{"name":"TRR 318: Erklärbarkeit konstruieren","_id":"109"}],"main_file_link":[{"url":"https://link.springer.com/book/10.1007/978-981-96-5290-7","open_access":"1"}],"language":[{"iso":"eng"}],"doi":"10.1007/978-981-96-5290-7_1","title":"Social Explainable AI","year":"2026","publication_identifier":{"isbn":["9789819652891","9789819652907"]},"date_updated":"2026-03-19T11:59:42Z","publication_status":"published","date_created":"2026-03-19T11:55:17Z","type":"book_editor","department":[{"_id":"26"},{"_id":"756"}],"abstract":[{"text":"<jats:title>Abstract</jats:title>\r\n                  <jats:p>This introduction sets the stage for the present book. Whereas research in eXplainable AI (XAI) is motivated by societal changes and values, technology development largely ignores social aspects. This book aims to address this research gap with a systematic and comprehensive social view on explainable AI. Besides introducing many relevant concepts, the book offers first access to their possible implementation, thus advancing the development of more social XAI. The introduction starts by connecting the topic to the general research field of XAI. The second part defines the novel approach of social eXplainable AI (sXAI) along the three characteristics of social interaction such as patternedness, incrementality, and multimodality. Finally, the third part explains the structure followed by each chapter. The book offers insights not only for readers who work on technology development but also for those working in sociotechnical fields. Addressing an interdisciplinary readership, the book is an invitation for more exchange and further development of the sXAI field.</jats:p>","lang":"eng"}]},{"department":[{"_id":"756"},{"_id":"26"}],"type":"review","place":"Baden-Baden","date_created":"2026-06-30T11:25:19Z","citation":{"chicago":"Thomas, Sven. “Discourses on Discursive Machines. Review of Mark Coeckelbergh and David J. Gunkel, Communicative AI: A Critical Introduction to Large Language Models.” <i>Jahrbuch Technikphilosophie</i>. Baden-Baden: Nomos, 2026.","short":"S. Thomas, Jahrbuch Technikphilosophie 11 (2026).","ieee":"S. Thomas, “Discourses on Discursive Machines. Review of Mark Coeckelbergh and David J. Gunkel, Communicative AI: A Critical Introduction to Large Language Models,” <i>Jahrbuch Technikphilosophie</i>, vol. 11. Nomos, Baden-Baden, 2026.","apa":"Thomas, S. (2026). Discourses on Discursive Machines. Review of Mark Coeckelbergh and David J. Gunkel, Communicative AI: A Critical Introduction to Large Language Models. In <i>Jahrbuch Technikphilosophie</i> (Vol. 11). Nomos.","bibtex":"@article{Thomas_2026, place={Baden-Baden}, title={Discourses on Discursive Machines. Review of Mark Coeckelbergh and David J. Gunkel, Communicative AI: A Critical Introduction to Large Language Models}, volume={11}, journal={Jahrbuch Technikphilosophie}, publisher={Nomos}, author={Thomas, Sven}, year={2026} }","ama":"Thomas S. Discourses on Discursive Machines. Review of Mark Coeckelbergh and David J. Gunkel, Communicative AI: A Critical Introduction to Large Language Models. <i>Jahrbuch Technikphilosophie</i>. 2026;11.","mla":"Thomas, Sven. “Discourses on Discursive Machines. Review of Mark Coeckelbergh and David J. Gunkel, Communicative AI: A Critical Introduction to Large Language Models.” <i>Jahrbuch Technikphilosophie</i>, vol. 11, Nomos, 2026."},"publication":"Jahrbuch Technikphilosophie","volume":11,"user_id":"94561","_id":"66090","publisher":"Nomos","language":[{"iso":"eng"}],"intvolume":"        11","date_updated":"2026-08-11T12:31:22Z","publication_status":"published","author":[{"full_name":"Thomas, Sven","last_name":"Thomas","first_name":"Sven","id":"94561"}],"publication_identifier":{"unknown":["978-3-7560-3462-8"]},"year":"2026","title":"Discourses on Discursive Machines. Review of Mark Coeckelbergh and David J. Gunkel, Communicative AI: A Critical Introduction to Large Language Models","status":"public"},{"publication_status":"published","date_updated":"2026-08-11T12:38:26Z","author":[{"id":"94561","first_name":"Sven","last_name":"Thomas","full_name":"Thomas, Sven"}],"title":"Toni Loh: Feministische Technikphilosophie. Bielefeld: transcript 2025. 324 S.","status":"public","year":"2026","user_id":"94561","_id":"66696","publisher":"C.C.Buchner","language":[{"iso":"ger"}],"citation":{"bibtex":"@article{Thomas_2026, place={Bamberg}, title={Toni Loh: Feministische Technikphilosophie. Bielefeld: transcript 2025. 324 S.}, journal={Zeitschrift für Didaktik der Philosophie und Ethik}, publisher={C.C.Buchner}, author={Thomas, Sven}, year={2026} }","ama":"Thomas S. Toni Loh: Feministische Technikphilosophie. Bielefeld: transcript 2025. 324 S. <i>Zeitschrift für Didaktik der Philosophie und Ethik</i>. Published online 2026.","mla":"Thomas, Sven. “Toni Loh: Feministische Technikphilosophie. Bielefeld: transcript 2025. 324 S.” <i>Zeitschrift für Didaktik der Philosophie und Ethik</i>, C.C.Buchner, 2026.","short":"S. Thomas, Zeitschrift für Didaktik der Philosophie und Ethik (2026).","chicago":"Thomas, Sven. “Toni Loh: Feministische Technikphilosophie. Bielefeld: transcript 2025. 324 S.” <i>Zeitschrift für Didaktik der Philosophie und Ethik</i>. Bamberg: C.C.Buchner, 2026.","ieee":"S. Thomas, “Toni Loh: Feministische Technikphilosophie. Bielefeld: transcript 2025. 324 S.,” <i>Zeitschrift für Didaktik der Philosophie und Ethik</i>. C.C.Buchner, Bamberg, 2026.","apa":"Thomas, S. (2026). Toni Loh: Feministische Technikphilosophie. Bielefeld: transcript 2025. 324 S. In <i>Zeitschrift für Didaktik der Philosophie und Ethik</i>. C.C.Buchner."},"publication":"Zeitschrift für Didaktik der Philosophie und Ethik","department":[{"_id":"756"},{"_id":"26"}],"type":"review","date_created":"2026-08-11T12:38:21Z","place":"Bamberg"},{"date_created":"2025-10-05T15:29:31Z","department":[{"_id":"26"},{"_id":"756"}],"type":"book_chapter","publication":"Algorithmische Wissenskulturen. Der Einfluss des Computers auf die Wissenschaftsentwicklung","series_title":"Die blaue Stunde der Informatik","language":[{"iso":"ger"}],"doi":"10.1007/978-3-658-35560-9_14","author":[{"first_name":"Suzana","last_name":"Alpsancar","full_name":"Alpsancar, Suzana","id":"93637"}],"publication_identifier":{"isbn":["9783658355593","9783658355609"],"issn":["2730-7425","2730-7433"]},"title":"Algorithmische Kulturen des Pflanzensammelns? Das Beispiel der Computerisierung des Botanischen Gartens und Botanischen Museums Berlin","year":"2025","publication_status":"published","date_updated":"2025-11-18T09:31:23Z","place":"Wiesbaden","citation":{"apa":"Alpsancar, S. (2025). Algorithmische Kulturen des Pflanzensammelns? Das Beispiel der Computerisierung des Botanischen Gartens und Botanischen Museums Berlin. In U. Hashagen &#38; R. Seising (Eds.), <i>Algorithmische Wissenskulturen. Der Einfluss des Computers auf die Wissenschaftsentwicklung</i> (pp. 327–365). Springer. <a href=\"https://doi.org/10.1007/978-3-658-35560-9_14\">https://doi.org/10.1007/978-3-658-35560-9_14</a>","ieee":"S. Alpsancar, “Algorithmische Kulturen des Pflanzensammelns? Das Beispiel der Computerisierung des Botanischen Gartens und Botanischen Museums Berlin,” in <i>Algorithmische Wissenskulturen. Der Einfluss des Computers auf die Wissenschaftsentwicklung</i>, U. Hashagen and R. Seising, Eds. Wiesbaden: Springer, 2025, pp. 327–365.","short":"S. Alpsancar, in: U. Hashagen, R. Seising (Eds.), Algorithmische Wissenskulturen. Der Einfluss des Computers auf die Wissenschaftsentwicklung, Springer, Wiesbaden, 2025, pp. 327–365.","chicago":"Alpsancar, Suzana. “Algorithmische Kulturen des Pflanzensammelns? Das Beispiel der Computerisierung des Botanischen Gartens und Botanischen Museums Berlin.” In <i>Algorithmische Wissenskulturen. Der Einfluss des Computers auf die Wissenschaftsentwicklung</i>, edited by Ulf Hashagen and Rudolf Seising, 327–365. Die blaue Stunde der Informatik. Wiesbaden: Springer, 2025. <a href=\"https://doi.org/10.1007/978-3-658-35560-9_14\">https://doi.org/10.1007/978-3-658-35560-9_14</a>.","mla":"Alpsancar, Suzana. “Algorithmische Kulturen des Pflanzensammelns? Das Beispiel der Computerisierung des Botanischen Gartens und Botanischen Museums Berlin.” <i>Algorithmische Wissenskulturen. Der Einfluss des Computers auf die Wissenschaftsentwicklung</i>, edited by Ulf Hashagen and Rudolf Seising, Springer, 2025, pp. 327–365, doi:<a href=\"https://doi.org/10.1007/978-3-658-35560-9_14\">10.1007/978-3-658-35560-9_14</a>.","ama":"Alpsancar S. Algorithmische Kulturen des Pflanzensammelns? Das Beispiel der Computerisierung des Botanischen Gartens und Botanischen Museums Berlin. In: Hashagen U, Seising R, eds. <i>Algorithmische Wissenskulturen. Der Einfluss des Computers auf die Wissenschaftsentwicklung</i>. Die blaue Stunde der Informatik. Springer; 2025:327–365. doi:<a href=\"https://doi.org/10.1007/978-3-658-35560-9_14\">10.1007/978-3-658-35560-9_14</a>","bibtex":"@inbook{Alpsancar_2025, place={Wiesbaden}, series={Die blaue Stunde der Informatik}, title={Algorithmische Kulturen des Pflanzensammelns? Das Beispiel der Computerisierung des Botanischen Gartens und Botanischen Museums Berlin}, DOI={<a href=\"https://doi.org/10.1007/978-3-658-35560-9_14\">10.1007/978-3-658-35560-9_14</a>}, booktitle={Algorithmische Wissenskulturen. Der Einfluss des Computers auf die Wissenschaftsentwicklung}, publisher={Springer}, author={Alpsancar, Suzana}, editor={Hashagen, Ulf and Seising, Rudolf}, year={2025}, pages={327–365}, collection={Die blaue Stunde der Informatik} }"},"_id":"61517","publisher":"Springer","page":"327–365","editor":[{"last_name":"Hashagen","first_name":"Ulf","full_name":"Hashagen, Ulf"},{"first_name":"Rudolf","last_name":"Seising","full_name":"Seising, Rudolf"}],"user_id":"93637","status":"public"},{"type":"preprint","department":[{"_id":"424"},{"_id":"26"},{"_id":"756"}],"oa":"1","date_created":"2025-05-16T09:39:13Z","abstract":[{"text":"nder the slogan of trustworthy AI, much of contemporary AI research is focused on designing AI systems and usage practices that inspire human trust and, thus, enhance adoption of AI systems. However, a person affected by an AI system may not be convinced by AI system design alone---neither should they, if the AI system is embedded in a social context that gives good reason to believe that it is used in tension with a person’s interest. In such cases,  distrust in the system may be justified and necessary to build meaningful trust in the first place. We propose the term \\emph{healthy distrust} to describe such a justified, careful stance towards certain AI usage practices. We investigate prior notions of trust and distrust in computer science, sociology, history, psychology, and philosophy, outline a remaining gap that healthy distrust might fill and conceptualize healthy distrust as a crucial part for AI usage that respects human autonomy.","lang":"eng"}],"project":[{"name":"TRR 318 - B3: TRR 318 - Subproject B3","_id":"122"},{"name":"TRR 318 - C1: TRR 318 - Subproject C1 - Gesundes Misstrauen in Erklärungen","_id":"124"},{"_id":"370","name":"TRR 318 - B06: TRR 318 - Teilprojekt B6 - Ethik und Normativität der erklärbaren KI"}],"publication":"arXiv","citation":{"bibtex":"@article{Paaßen_Alpsancar_Matzner_Scharlau_2025, title={Healthy Distrust in AI systems}, journal={arXiv}, author={Paaßen, Benjamin and Alpsancar, Suzana and Matzner, Tobias and Scharlau, Ingrid}, year={2025} }","ama":"Paaßen B, Alpsancar S, Matzner T, Scharlau I. Healthy Distrust in AI systems. <i>arXiv</i>. Published online 2025.","mla":"Paaßen, Benjamin, et al. “Healthy Distrust in AI Systems.” <i>ArXiv</i>, 2025.","chicago":"Paaßen, Benjamin, Suzana Alpsancar, Tobias Matzner, and Ingrid Scharlau. “Healthy Distrust in AI Systems.” <i>ArXiv</i>, 2025.","short":"B. Paaßen, S. Alpsancar, T. Matzner, I. Scharlau, ArXiv (2025).","ieee":"B. Paaßen, S. Alpsancar, T. Matzner, and I. Scharlau, “Healthy Distrust in AI systems,” <i>arXiv</i>. 2025.","apa":"Paaßen, B., Alpsancar, S., Matzner, T., &#38; Scharlau, I. (2025). Healthy Distrust in AI systems. In <i>arXiv</i>."},"user_id":"93637","main_file_link":[{"open_access":"1","url":"https://arxiv.org/abs/2505.09747"}],"language":[{"iso":"eng"}],"_id":"59917","date_updated":"2025-11-18T09:38:01Z","title":"Healthy Distrust in AI systems","year":"2025","status":"public","author":[{"last_name":"Paaßen","first_name":"Benjamin","full_name":"Paaßen, Benjamin"},{"full_name":"Alpsancar, Suzana","last_name":"Alpsancar","first_name":"Suzana","id":"93637"},{"full_name":"Matzner, Tobias","last_name":"Matzner","first_name":"Tobias","id":"65695"},{"orcid":"0000-0003-2364-9489","first_name":"Ingrid","last_name":"Scharlau","full_name":"Scharlau, Ingrid","id":"451"}]},{"abstract":[{"lang":"eng","text":"Explainable AI (XAI) methods can support the identification of biases in automated decision-making (ADM) systems. However, existing research does not sufficiently address whether these biases originate from the ADM system or mirror underlying societal inequalities. This distinction is important because it has major implications for how to act upon an explanation: while the societal bias produced by the ADM system can be algorithmically fixed, societal inequalities demand societal actions. To address this gap, we propose the RR-XAI-framework (recognition-redistribution through XAI) that builds on a distinction between socio-technical and societal bias and Nancy Fraser's justice theory of recognition and redistribution. In our framework, explanations can play two distinct roles: as a socio-technical diagnosis when they reveal biases produced by the ADM system itself, or as a societal diagnosis when they expose biases that reflect broader societal inequalities. We then outline the operationalization of the framework and discuss its applicability for cases in algorithmic hiring and credit scoring. Based on our findings, we argue that the diagnostic functions of XAI are contingent on the provision of such explanations, the resources of the audiences, as well as the current limits of XAI techniques."}],"publication":"Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society","issue":"1","department":[{"_id":"756"},{"_id":"26"}],"type":"journal_article","date_created":"2025-10-31T15:05:38Z","intvolume":"         8","article_type":"original","date_updated":"2025-11-18T10:09:40Z","publication_status":"published","author":[{"id":"118059","first_name":"Miriam","last_name":"Fahimi","orcid":"0000-0002-0619-3160","full_name":"Fahimi, Miriam"},{"full_name":"State, Laura","last_name":"State","first_name":"Laura"},{"full_name":"Kasirzadeh, Atoosa","first_name":"Atoosa","last_name":"Kasirzadeh"}],"publication_identifier":{"issn":["3065-8365"]},"year":"2025","title":"From Explaining to Diagnosing: A Justice-Oriented Framework of Explainable AI for Bias Detection","doi":"10.1609/aies.v8i1.36597","language":[{"iso":"eng"}],"citation":{"bibtex":"@article{Fahimi_State_Kasirzadeh_2025, title={From Explaining to Diagnosing: A Justice-Oriented Framework of Explainable AI for Bias Detection}, volume={8}, DOI={<a href=\"https://doi.org/10.1609/aies.v8i1.36597\">10.1609/aies.v8i1.36597</a>}, number={1}, journal={Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society}, publisher={Association for the Advancement of Artificial Intelligence (AAAI)}, author={Fahimi, Miriam and State, Laura and Kasirzadeh, Atoosa}, year={2025}, pages={879–892} }","ama":"Fahimi M, State L, Kasirzadeh A. From Explaining to Diagnosing: A Justice-Oriented Framework of Explainable AI for Bias Detection. <i>Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society</i>. 2025;8(1):879-892. doi:<a href=\"https://doi.org/10.1609/aies.v8i1.36597\">10.1609/aies.v8i1.36597</a>","mla":"Fahimi, Miriam, et al. “From Explaining to Diagnosing: A Justice-Oriented Framework of Explainable AI for Bias Detection.” <i>Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society</i>, vol. 8, no. 1, Association for the Advancement of Artificial Intelligence (AAAI), 2025, pp. 879–92, doi:<a href=\"https://doi.org/10.1609/aies.v8i1.36597\">10.1609/aies.v8i1.36597</a>.","short":"M. Fahimi, L. State, A. Kasirzadeh, Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society 8 (2025) 879–892.","chicago":"Fahimi, Miriam, Laura State, and Atoosa Kasirzadeh. “From Explaining to Diagnosing: A Justice-Oriented Framework of Explainable AI for Bias Detection.” <i>Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society</i> 8, no. 1 (2025): 879–92. <a href=\"https://doi.org/10.1609/aies.v8i1.36597\">https://doi.org/10.1609/aies.v8i1.36597</a>.","ieee":"M. Fahimi, L. State, and A. Kasirzadeh, “From Explaining to Diagnosing: A Justice-Oriented Framework of Explainable AI for Bias Detection,” <i>Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society</i>, vol. 8, no. 1, pp. 879–892, 2025, doi: <a href=\"https://doi.org/10.1609/aies.v8i1.36597\">10.1609/aies.v8i1.36597</a>.","apa":"Fahimi, M., State, L., &#38; Kasirzadeh, A. (2025). From Explaining to Diagnosing: A Justice-Oriented Framework of Explainable AI for Bias Detection. <i>Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society</i>, <i>8</i>(1), 879–892. <a href=\"https://doi.org/10.1609/aies.v8i1.36597\">https://doi.org/10.1609/aies.v8i1.36597</a>"},"status":"public","volume":8,"user_id":"118059","publisher":"Association for the Advancement of Artificial Intelligence (AAAI)","_id":"62028","page":"879-892"},{"date_updated":"2025-11-18T10:02:20Z","author":[{"first_name":"Raphaële","last_name":"Xenidis","full_name":"Xenidis, Raphaële"},{"full_name":"Fahimi, Miriam","orcid":"0000-0002-0619-3160","first_name":"Miriam","last_name":"Fahimi","id":"118059"}],"year":"2025","title":"Standardising Equality in the Algorithmic Society? A Research Agenda","status":"public","user_id":"118059","publisher":"PMLR","_id":"62229","language":[{"iso":"eng"}],"page":"310–314","abstract":[{"lang":"eng","text":"In 2024, the EU adopted the AI Act, a new set of rules for trustworthy artificial intelligence. This legal instrument carves a large place for standardisation, a regulatory technique that consists in crafting so-called harmonised technical standards, to facilitate legal compliance by industry stakeholders. While EU technical standards have been used in the past for ensuring product safety, for the first time the AI Act relies on standardisation to facilitate compliance with fundamental rights, including the right to non-discrimination and equality. The attempt to translate inherently open-textured rights and ethical principles into operationalizable standards raises critical questions. In particular, how will standardisation practices under the new EU AI Act affect, transform, contest and stabilise notions of equality and non-discrimination in an increasingly algorithmic society? This paper proposes a research agenda to address this question and unpack the black box of AI standardisation."}],"citation":{"mla":"Xenidis, Raphaële, and Miriam Fahimi. “Standardising Equality in the Algorithmic Society? A Research Agenda.” <i>Proceedings of Fourth European Workshop on Algorithmic Fairness</i>, PMLR, 2025, pp. 310–314.","apa":"Xenidis, R., &#38; Fahimi, M. (2025). Standardising Equality in the Algorithmic Society? A Research Agenda. <i>Proceedings of Fourth European Workshop on Algorithmic Fairness</i>, 310–314.","ieee":"R. Xenidis and M. Fahimi, “Standardising Equality in the Algorithmic Society? A Research Agenda,” in <i>Proceedings of Fourth European Workshop on Algorithmic Fairness</i>, 2025, pp. 310–314.","chicago":"Xenidis, Raphaële, and Miriam Fahimi. “Standardising Equality in the Algorithmic Society? A Research Agenda.” In <i>Proceedings of Fourth European Workshop on Algorithmic Fairness</i>, 310–314. PMLR, 2025.","short":"R. Xenidis, M. Fahimi, in: Proceedings of Fourth European Workshop on Algorithmic Fairness, PMLR, 2025, pp. 310–314.","ama":"Xenidis R, Fahimi M. Standardising Equality in the Algorithmic Society? A Research Agenda. In: <i>Proceedings of Fourth European Workshop on Algorithmic Fairness</i>. PMLR; 2025:310–314.","bibtex":"@inproceedings{Xenidis_Fahimi_2025, title={Standardising Equality in the Algorithmic Society? A Research Agenda}, booktitle={Proceedings of Fourth European Workshop on Algorithmic Fairness}, publisher={PMLR}, author={Xenidis, Raphaële and Fahimi, Miriam}, year={2025}, pages={310–314} }"},"publication":"Proceedings of Fourth European Workshop on Algorithmic Fairness","department":[{"_id":"756"},{"_id":"26"}],"type":"conference","date_created":"2025-11-18T09:59:34Z"},{"oa":"1","citation":{"chicago":"Alpsancar, Suzana, Heike M. Buhl, Tobias Matzner, and Ingrid Scharlau. “Explanation Needs and Ethical Demands: Unpacking the Instrumental Value of XAI.” <i>AI and Ethics</i> 5 (2025): 3015–3033. <a href=\"https://doi.org/10.1007/s43681-024-00622-3\">https://doi.org/10.1007/s43681-024-00622-3</a>.","short":"S. Alpsancar, H.M. Buhl, T. Matzner, I. Scharlau, AI and Ethics 5 (2025) 3015–3033.","apa":"Alpsancar, S., Buhl, H. M., Matzner, T., &#38; Scharlau, I. (2025). Explanation needs and ethical demands: unpacking the instrumental value of XAI. <i>AI and Ethics</i>, <i>5</i>, 3015–3033. <a href=\"https://doi.org/10.1007/s43681-024-00622-3\">https://doi.org/10.1007/s43681-024-00622-3</a>","ieee":"S. Alpsancar, H. M. Buhl, T. Matzner, and I. Scharlau, “Explanation needs and ethical demands: unpacking the instrumental value of XAI,” <i>AI and Ethics</i>, vol. 5, pp. 3015–3033, 2025, doi: <a href=\"https://doi.org/10.1007/s43681-024-00622-3\">https://doi.org/10.1007/s43681-024-00622-3</a>.","ama":"Alpsancar S, Buhl HM, Matzner T, Scharlau I. 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Alpsancar, S. Hahn, M. Kettner (Eds.),  Philosophische Digitalisierungsforschung  Verantwortung, Verständigung, Vernunft, Macht, transcript, Bielefeld, 2024, pp. 55–113.","mla":"Alpsancar, Suzana. “Warum Und Wozu Erklärbare KI? Über Die Verschiedenheit Dreier Paradigmatischer Zwecksetzungen.” <i> Philosophische Digitalisierungsforschung  Verantwortung, Verständigung, Vernunft, Macht</i>, edited by Rainer Adolphi et al., transcript, 2024, pp. 55–113.","ama":"Alpsancar S. Warum und wozu erklärbare KI? Über die Verschiedenheit dreier paradigmatischer Zwecksetzungen. In: Adolphi R, Alpsancar S, Hahn S, Kettner M, eds. <i> Philosophische Digitalisierungsforschung  Verantwortung, Verständigung, Vernunft, Macht</i>. transcript; 2024:55-113.","bibtex":"@inbook{Alpsancar_2024, place={Bielefeld}, title={Warum und wozu erklärbare KI? Über die Verschiedenheit dreier paradigmatischer Zwecksetzungen}, booktitle={ Philosophische Digitalisierungsforschung  Verantwortung, Verständigung, Vernunft, Macht}, publisher={transcript}, author={Alpsancar, Suzana}, editor={Adolphi, Rainer and Alpsancar, Suzana and Hahn, Susanne and Kettner, Matthias}, year={2024}, pages={55–113} }"},"oa":"1","place":"Bielefeld"},{"citation":{"mla":"Alvarez, Jose M., et al. “Policy Advice and Best Practices on Bias and Fairness in AI.” <i>Ethics and Information Technology</i>, vol. 26, no. 2, 31, Springer Science and Business Media LLC, 2024, doi:<a href=\"https://doi.org/10.1007/s10676-024-09746-w\">10.1007/s10676-024-09746-w</a>.","bibtex":"@article{Alvarez_Colmenarejo_Elobaid_Fabbrizzi_Fahimi_Ferrara_Ghodsi_Mougan_Papageorgiou_Reyero_et al._2024, title={Policy advice and best practices on bias and fairness in AI}, volume={26}, DOI={<a href=\"https://doi.org/10.1007/s10676-024-09746-w\">10.1007/s10676-024-09746-w</a>}, number={231}, journal={Ethics and Information Technology}, publisher={Springer Science and Business Media LLC}, author={Alvarez, Jose M. and Colmenarejo, Alejandra Bringas and Elobaid, Alaa and Fabbrizzi, Simone and Fahimi, Miriam and Ferrara, Antonio and Ghodsi, Siamak and Mougan, Carlos and Papageorgiou, Ioanna and Reyero, Paula and et al.}, year={2024} }","ama":"Alvarez JM, Colmenarejo AB, Elobaid A, et al. Policy advice and best practices on bias and fairness in AI. <i>Ethics and Information Technology</i>. 2024;26(2). doi:<a href=\"https://doi.org/10.1007/s10676-024-09746-w\">10.1007/s10676-024-09746-w</a>","ieee":"J. M. Alvarez <i>et al.</i>, “Policy advice and best practices on bias and fairness in AI,” <i>Ethics and Information Technology</i>, vol. 26, no. 2, Art. no. 31, 2024, doi: <a href=\"https://doi.org/10.1007/s10676-024-09746-w\">10.1007/s10676-024-09746-w</a>.","apa":"Alvarez, J. M., Colmenarejo, A. B., Elobaid, A., Fabbrizzi, S., Fahimi, M., Ferrara, A., Ghodsi, S., Mougan, C., Papageorgiou, I., Reyero, P., Russo, M., Scott, K. M., State, L., Zhao, X., &#38; Ruggieri, S. (2024). Policy advice and best practices on bias and fairness in AI. <i>Ethics and Information Technology</i>, <i>26</i>(2), Article 31. <a href=\"https://doi.org/10.1007/s10676-024-09746-w\">https://doi.org/10.1007/s10676-024-09746-w</a>","short":"J.M. Alvarez, A.B. Colmenarejo, A. Elobaid, S. Fabbrizzi, M. Fahimi, A. Ferrara, S. Ghodsi, C. Mougan, I. Papageorgiou, P. Reyero, M. Russo, K.M. Scott, L. State, X. Zhao, S. Ruggieri, Ethics and Information Technology 26 (2024).","chicago":"Alvarez, Jose M., Alejandra Bringas Colmenarejo, Alaa Elobaid, Simone Fabbrizzi, Miriam Fahimi, Antonio Ferrara, Siamak Ghodsi, et al. “Policy Advice and Best Practices on Bias and Fairness in AI.” <i>Ethics and Information Technology</i> 26, no. 2 (2024). <a href=\"https://doi.org/10.1007/s10676-024-09746-w\">https://doi.org/10.1007/s10676-024-09746-w</a>."},"_id":"62033","publisher":"Springer Science and Business Media LLC","user_id":"118059","volume":26,"status":"public","date_created":"2025-10-31T15:17:11Z","type":"journal_article","issue":"2","publication":"Ethics and Information Technology","extern":"1","abstract":[{"lang":"eng","text":"<jats:title>Abstract</jats:title><jats:p>The literature addressing bias and fairness in AI models (<jats:italic>fair-AI</jats:italic>) is growing at a fast pace, making it difficult for novel researchers and practitioners to have a bird’s-eye view picture of the field. In particular, many policy initiatives, standards, and best practices in fair-AI have been proposed for setting principles, procedures, and knowledge bases to guide and operationalize the management of bias and fairness. The first objective of this paper is to concisely survey the state-of-the-art of fair-AI methods and resources, and the main policies on bias in AI, with the aim of providing such a bird’s-eye guidance for both researchers and practitioners. The second objective of the paper is to contribute to the policy advice and best practices state-of-the-art by leveraging from the results of the NoBIAS research project. We present and discuss a few relevant topics organized around the NoBIAS architecture, which is made up of a Legal Layer, focusing on the European Union context, and a Bias Management Layer, focusing on understanding, mitigating, and accounting for bias.</jats:p>"}],"article_number":"31","language":[{"iso":"eng"}],"doi":"10.1007/s10676-024-09746-w","year":"2024","title":"Policy advice and best practices on bias and fairness in AI","author":[{"last_name":"Alvarez","first_name":"Jose M.","full_name":"Alvarez, Jose M."},{"first_name":"Alejandra Bringas","last_name":"Colmenarejo","full_name":"Colmenarejo, Alejandra Bringas"},{"last_name":"Elobaid","first_name":"Alaa","full_name":"Elobaid, Alaa"},{"first_name":"Simone","last_name":"Fabbrizzi","full_name":"Fabbrizzi, Simone"},{"first_name":"Miriam","orcid":"0000-0002-0619-3160","last_name":"Fahimi","full_name":"Fahimi, Miriam","id":"118059"},{"first_name":"Antonio","last_name":"Ferrara","full_name":"Ferrara, Antonio"},{"full_name":"Ghodsi, Siamak","first_name":"Siamak","last_name":"Ghodsi"},{"full_name":"Mougan, Carlos","first_name":"Carlos","last_name":"Mougan"},{"last_name":"Papageorgiou","first_name":"Ioanna","full_name":"Papageorgiou, Ioanna"},{"full_name":"Reyero, Paula","first_name":"Paula","last_name":"Reyero"},{"full_name":"Russo, Mayra","first_name":"Mayra","last_name":"Russo"},{"last_name":"Scott","first_name":"Kristen M.","full_name":"Scott, Kristen M."},{"first_name":"Laura","last_name":"State","full_name":"State, Laura"},{"full_name":"Zhao, Xuan","last_name":"Zhao","first_name":"Xuan"},{"last_name":"Ruggieri","first_name":"Salvatore","full_name":"Ruggieri, Salvatore"}],"publication_identifier":{"issn":["1388-1957","1572-8439"]},"publication_status":"published","date_updated":"2025-11-18T09:56:30Z","intvolume":"        26"}]