{"id":929,"date":"2024-11-22T12:57:02","date_gmt":"2024-11-22T11:57:02","guid":{"rendered":"https:\/\/www.hsu-hh.de\/theevs\/?page_id=929"},"modified":"2024-11-22T12:57:28","modified_gmt":"2024-11-22T11:57:28","slug":"the-trustworthy-ai-lab-neu","status":"publish","type":"page","link":"https:\/\/www.hsu-hh.de\/theevs\/the-trustworthy-ai-lab-neu","title":{"rendered":"The Trustworthy AI Lab"},"content":{"rendered":"\n<p><strong>The Trustworthy AI Lab at Helmut Schmidt University (<abbr title=\"Helmut Schmidt Universit\u00e4t\">HSU<\/abbr>\/<abbr title=\"Universit\u00e4t der Bundeswehr Hamburg\">UniBwH<\/abbr>)&nbsp;<\/strong>is an interdisciplinary team dedicated to pioneering research at the intersection of technology, society, and ethics. Our mission is to address the complex challenges posed by artificial intelligence (AI) and to develop sustainable solutions that comply with ethical standards. With a particular focus on trustworthiness, the Lab explores the essential elements that make AI applications ethical, just, and reliable. It also addresses governance issues related to AI to ensure its responsible use. The Lab aims to foster dialogue and critical reflection on the responsible use of AI, considering its development, implementation, and the broader implications of its use.<\/p>\n\n\n\n<p><strong>Members<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><a href=\"https:\/\/www.hsu-hh.de\/theevs\/schreiber\"><abbr title=\"Professor\">Prof.<\/abbr>\u00a0<abbr title=\"Doktor\">Dr.<\/abbr>\u00a0Gerhard Schreiber (Spokesperson)<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/www.hsu-hh.de\/imb\/team\"><abbr title=\"Professor\">Prof.<\/abbr>\u00a0<abbr title=\"Doktor\">Dr.<\/abbr>\u00a0Oliver Niggemann<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/www.hsu-hh.de\/sozgov\/\"><abbr title=\"Professor\">Prof.<\/abbr>\u00a0<abbr title=\"Doktor\">Dr.<\/abbr>\u00a0Sigrid Hartong<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/www.hsu-hh.de\/dataeng\/\"><abbr title=\"Professor\">Prof.<\/abbr>\u00a0<abbr title=\"Doktor\">Dr.<\/abbr>\u00a0Maria Maleshkova<\/a><\/li>\n<\/ul>\n\n\n\n<p><strong>E-Mail<\/strong>:&nbsp;AI-Lab@hsu-hh.de<\/p>\n\n\n\n<p>The Lab is affiliated with the&nbsp;<a href=\"https:\/\/z-inspection.org\/\" target=\"_blank\" rel=\"noreferrer noopener\">Z-inspection\u00ae initiative<\/a>. Z-Inspection\u00ae is a holistic process for evaluating the trustworthiness of AI-based technologies at different stages of the AI lifecycle. In particular, it focuses on identifying and discussing ethical issues and tensions through the development of socio-technical scenarios. It uses the&nbsp;<a href=\"https:\/\/ec.europa.eu\/futurium\/en\/ai-alliance-consultation.1.html\" rel='nofollow'>European Union High-Level Expert Group\u2019s (EU HLEG) general guidelines for trustworthy AI.<\/a><\/p>\n\n\n\n<p>The process has been published in the&nbsp;<a href=\"https:\/\/ieeexplore.ieee.org\/document\/9380498\" target=\"_blank\" rel=\"noreferrer noopener\">IEEE Transactions on Technology and Society<\/a><a href=\"https:\/\/ieeexplore.ieee.org\/document\/9380498\" rel='nofollow'>.<\/a><\/p>\n\n\n\n<p>Z-Inspection\u00ae is distributed under the terms of the Creative Commons License (Attribution-NonCommercial-ShareAlike CC BY-NC-SA).<\/p>\n\n\n\n<p>Z-Inspection\u00ae is listed in the new&nbsp;<a href=\"https:\/\/oecd.ai\/en\/catalogue\/tools\/z-inspection\" target=\"_blank\" rel=\"noreferrer noopener\">OECD Catalogue of AI Tools &amp; Metrics.<\/a><\/p>\n\n\n\n<p><a href=\"https:\/\/z-inspection.org\/affiliated-labs\/\" rel='nofollow'>Affiliated labs with the Z-Inspection\u00ae initiative.<\/a><\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Publications<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Allert, H. &amp; Hartong, S. (2021): Alternativlose Zukunft? Zur Notwendigkeit kritischer Auseinandersetzung mit den L\u00f6sungsversprechen K\u00fcnstlicher Intelligenz. In: ON. Lernen in der digitalen Welt, 5\/2021: 8-9.<\/li>\n\n\n\n<li>Decuypere, M.; Alirezabeigi, S.; Grimaldi, E.; Hartong, S.; Kiesewetter, S.; Landri, P.: Masschelein, J.; Piattoeva, N.; Ratner, H.; Simons, M.; Vanermen, L. &amp; van den Broeck, P. (2022): Laws of edu-automation? Three different approaches to deal with processes of automation and artificial intelligence in the field of education. In: Postdigital Science and Education.<\/li>\n\n\n\n<li>Hartong, S. &amp; Sander, I. (2021): Critical Data(fication) Literacy in und durch Bildung. In: Renz, Andr\u00e9; Etsiwah, Bennet; Burgue\u00f1o Hopf, Ana Teresa (<abbr title=\"Herausgeber\">Hrsg.<\/abbr>) Whitepaper Datenkompetenz: 19-20.<\/li>\n\n\n\n<li>Niggemann, O.; Zimmering, B.; Steude, H.; Augustin, J.L.; Windmann, A.; Multaheb, S. (2023): Machine Learning for Cyber-Physical Systems. In: Vogel-Heuser, B.; Wimmer, M. (eds) Digital Transformation. Springer Vieweg, Berlin, Heidelberg.\u00a0<a href=\"https:\/\/doi.org\/10.1007\/978-3-662-65004-2_17\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/doi.org\/10.1007\/978-3-662-65004-2_17<\/a><\/li>\n\n\n\n<li>Schreiber, G. (2024): Reconsidering Agency in the Age of AI. In: Filozofia,\u00a0<abbr title=\"Band\">Bd.<\/abbr>\u00a079(5), 2024, 529-537.<\/li>\n\n\n\n<li>Schreiber, G. (2022): Data Toxicity. A Techno-Ethical Challenge [Datentoxikalit\u00e4t. Eine technikethische Herausforderung]. In: Augsberg S &amp; Gehring P. (eds) Data Sovereignty: Positions on the Debate, Frankfurt a.M.\/New York: Campus, 199-217.<\/li>\n\n\n\n<li>Windmann, A.; Wittenberg, P.; Schieseck, M.; Niggemann, O.: Artificial Intelligence in Industry 4.0 (2024): A Review of Integration Challenges for Industrial Systems. 22nd IEEE International Conference on Industrial Informatics (INDIN), Beijing, China.<\/li>\n\n\n\n<li>Windmann, A.; Steude, H.; Niggemann, O. (2023): Robustness and Generalization Performance of Deep Learning Models on Cyber-Physical Systems: A Comparative Study. Workshop of Artificial Intelligence for Time Series Analysis (AI4TS), IJCAI 2023 \u2013 International Joint Conference on Artificial Intelligence, Macao, China.<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>The Trustworthy AI Lab at Helmut Schmidt University (HSU\/UniBwH)&nbsp;is an interdisciplinary team dedicated to pioneering research at the intersection of technology, society, and ethics. Our mission is to address the [&hellip;]<\/p>\n","protected":false},"author":3847,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"categories":[4],"tags":[],"class_list":["post-929","page","type-page","status-publish","hentry","category-forschung"],"_links":{"self":[{"href":"https:\/\/www.hsu-hh.de\/theevs\/wp-json\/wp\/v2\/pages\/929","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.hsu-hh.de\/theevs\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.hsu-hh.de\/theevs\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.hsu-hh.de\/theevs\/wp-json\/wp\/v2\/users\/3847"}],"replies":[{"embeddable":true,"href":"https:\/\/www.hsu-hh.de\/theevs\/wp-json\/wp\/v2\/comments?post=929"}],"version-history":[{"count":3,"href":"https:\/\/www.hsu-hh.de\/theevs\/wp-json\/wp\/v2\/pages\/929\/revisions"}],"predecessor-version":[{"id":932,"href":"https:\/\/www.hsu-hh.de\/theevs\/wp-json\/wp\/v2\/pages\/929\/revisions\/932"}],"wp:attachment":[{"href":"https:\/\/www.hsu-hh.de\/theevs\/wp-json\/wp\/v2\/media?parent=929"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.hsu-hh.de\/theevs\/wp-json\/wp\/v2\/categories?post=929"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.hsu-hh.de\/theevs\/wp-json\/wp\/v2\/tags?post=929"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}