@inproceedings{MuchaJacobiRobert2019, author = {Mucha, Henrik and Jacobi, Ricarda and Robert, Sebastian}, title = {Partizipation und K{\"u}nstliche Intelligenz}, series = {Mensch und Computer 2019 - Workshopband}, booktitle = {Mensch und Computer 2019 - Workshopband}, organization = {Gesellschaft f{\"u}r Informatik e.V.}, pages = {19 -- 21}, year = {2019}, abstract = {Der Einsatz k{\"u}nstlicher Intelligenz (KI) wird unsere Lebenswirklichkeit nachhaltig beeinflussen. Mittels technischer Verfahren maschinellen Lernens oder tiefer neuronaler Netze k{\"o}nnen Modelle aus existierenden Datenbest{\"a}nden gelernt und Vorhersagen abgeleitet werden. Wir stellen skizzenartig zwei aktuelle Projekte vor, die sich u.a. mit den Potentialen und der menschzentrierten Gestaltung von Systemen k{\"u}nstlicher Intelligenz besch{\"a}ftigen. Wir betten dies schlaglichtartig in den Kontext der aktuellen Debatte {\"u}ber die Entwicklung und Gestaltung von KI Systemen ein. Im Zuge dessen umreißen wir Herausforderungen und Chancen f{\"u}r die partizipative und sozialverantwortliche Technologieentwicklung von komplexen und auf Verfahren der k{\"u}nstlichen Intelligenz basierenden Systemen. Schließlich fokussieren wir dabei auf die Arbeitsebene und beschreiben kurz, welche konkreten Aktivit{\"a}ten wir planen und stellen diese zur Diskussion.}, language = {de} } @inproceedings{MuchaMevissenRobertetal.2020, author = {Mucha, Henrik and Mevißen, Dennis and Robert, Sebastian and Jacobi, Ricarda and Meyer, Kirsten and Heusler, Winfried and Arztmann, Daniel}, title = {Co-Design Futures for AI and Space: A Workbook Sprint}, series = {Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems (CHI EA '20). Association for Computing Machinery, New York, NY, USA}, booktitle = {Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems (CHI EA '20). Association for Computing Machinery, New York, NY, USA}, pages = {1 -- 8}, year = {2020}, abstract = {Artificial Intelligence (AI) is continuously moving into our surroundings. In its various forms, it has the potential to disrupt most aspects of human life. Yet, the discourse around AI has long been by experts and for experts. In this paper, we argue for a participatory approach towards designing human-AI interactions. We outline how we used design methodology to organise an interdisciplinary workshop with a diverse group of students - a workbook sprint with 45 participants from four different programs and 13 countries - to develop speculative design futures in five focus areas. We then provide insights into our findings and share our lessons learned regarding our workshop topic - AI and Space - our process, and our research. We learned that involving non-experts in complex technical discourses - such as AI - through the structural rigour of design methodology is a viable approach. We then conclude by laying out how others might use our findings and initiate their own workbook sprint to explore complex technologies in a human-centred way.}, language = {en} }