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Auxane Boch is a doctoral researcher at the Institute for Ethics in Artificial Intelligence (IEAI) at TU Munich. Her work focuses on the ethical and psychological impacts of interactional technologies like social robots and video games. She coordinates the doctoral network "alignAI" and co-leads the Immersive Realities Working Group at the TUM Think Tank. Auxane is also active in science communication and advocacy, serving as an ambassador for Women in AI Germany and Women in Games.

Enkelejda Kasneci is a Distinguished Professor for Human-Centered Technologies for Learning at TUM's School of Social Sciences & Technology and the School of Computation, Information and Technology. She directs the TUM Center for Educational Technologies, is a core member of the Munich Data Science Institute, and a Fellow of the Konrad Zuse School of Excellence in Reliable AI. Previously, she was Professor of Human-Computer Interaction and Dean of Studies at the University of Tübingen. She earned her M.Sc. in Computer Science from the University of Stuttgart and her PhD from the University of Tübingen, where she received the Research Prize of the Federation Südwestmetall. She led the Perception Engineering Lab at Tübingen before joining TUM.

Frauke holds the Chair of Social Data Science and AI Lab at LMU Munich, Germany and at the University of Maryland, USA, she is Co-director of the Social Data Science Center (SoDa) and faculty member in the Joint Program in Survey Methodology (JPSM). She is an elected fellow of the American Statistical Association, and received the Warren Mitofsky Innovators Award of the American Association for Public Opinion Research in 2020. In addition to her academic work, Professor Kreuter is the Founder of the International Program for Survey and Data Science (IPSDS); Co-Founder of the Coleridge Initiative, whose goal is to accelerate data-driven research and policy around human beings and their interactions for program management, policy development, and scholarly purposes by enabling efficient, effective, and secure access to sensitive data about society and the economy; and Co-Founder of the German language podcast Dig Deep (www.digdeep.de).

Hillary is a master's student of Mathematics in Data Science at the Technical University of Munich, who obtained her bachelor's degree in Mathematics at the Ludwig-Maximilians-University of Munich. Similarly, she wrote her thesis on Physical Law Learning at Bavarian AI Chair for Mathematical Foundations of AI. She currently works as a research student at Pruna AI, where she writes her thesis on Extreme Compression of LLMs.

Julia Barthel works as a data and investigative journalist for BR Data/BR Recherche. She combines data-driven research methods with cross-media reporting in audio, video, and text. She is particularly interested in how technology and society influence each other and where this poses risks to people—but also how data can help to better explain our complex world. She is also constantly on the lookout for new technical possibilities that can support journalistic work. She enjoys sharing this knowledge in workshops and seminars.

Lena is currently pursuing a Master's degree in Statistics and Data Science at LMU Munich. Alongside her studies, she works at Munich Re as a dual student, where she has already gained valuable practical experience in several departments, including communications, risk management, and corporate venture capital.

Lisa Schmierer is a computer scientist with a strong background in innovation and science communication. She has been actively involved with the Center for Digital Technology and Management (CDTM) in Munich and has worked as a journalist for SWR, among others. Her work focuses on developing data-driven solutions for complex challenges. Lisa is particularly interested in how to use ML for social good and developing algorithms to promote social justice. Her approach combines technical expertise with a keen understanding of strategic innovation.

Lisa Wimmer is a PhD student in the Statistical Learning & Data Science working group at LMU Munich, where she has been conducting research since February 2022. She holds a B.A. in Business Administration from DHBW Ravensburg and both a B.Sc. and M.Sc. in Statistics from LMU Munich.

Her research focuses on uncertainty quantification, with active involvement in the subgroups Probabilistic Machine and Deep Learning and Causal and Fair Machine Learning. She is also part of the Data Science Group led by Prof. David Rügamer and is funded by the Konrad Zuse School of Excellence in Reliable AI (relAI)

Marie Piraud is a theoretical physicist and interdisciplinary researcher, currently serving as Head of the AI consultant team at Helmholtz AI, Helmholtz Munich. Initially trained in the study of complex quantum systems, she now applies her expertise to biological and biomedical problems. At Helmholtz Munich her mission is to empower Health researchers from the Helmholtz Association with Artificial Intelligence, thereby pioneering novel research models in Academia. She is dedicated to developing practical applications that will make a difference in the clinic in the long run. She increasingly incorporates ethical and ecological considerations into their activities to ensure the societal impact is considered,and is actively seeking collaborators in this area.

Polina is a data scientist with a PhD in an industry setting. She combines classical machine learning models, computational social science, and organizational trust theory to deploy effective ML solutions in practice. Her current research interests focus on using explainable AI techniques to improve development practices, simplify AI-driven decision-making, and make AI more accessible to end users. Passionate about ethics and responsible AI development, she also supports CorrelAid as a member of its ethics committee. 

Rebecca Ciesielski is a reporter specializing in algorithmic accountability reporting at the AI + Automation Lab of Bayerischer Rundfunk. Together with her colleagues, she has investigated how the open trade of smartphone app location data on the internet threatens national security, how biometric data can endanger lives in Afghanistan, how AI algorithms are used to monitor call center employees’ emotions, and how Germany’s Federal Criminal Police Office (BKA) has used millions of facial images for extensive software testing.

Her work has been recognized with several awards, including the Grimme Online Award, the European Press Prize, the Journalism Award for Computer Science, and the PUNKT Prize for Technology Journalism. Rebecca studied computer science, communication studies, and cultural anthropology. During and after her studies, she completed a traineeship at ZDF, worked as a TV author, and contributed to outlets such as Tagesspiegel and Handelsblatt.