R&D
At aihorizon R&D, we cultivate collaboration across industries, non-profits, and educational institutions to shape the future of Responsible AI. We integrate cutting-edge technology, ethical principles, and creative expression to develop innovative ideas guided by our Responsible AI Framework. Through Horizon—our interactive AI learning space—we empower individuals and organizations to advance Responsible AI in meaningful ways. To ensure real-world impact, we empirically validate innovations such as the sustainability module, our Responsible AI Coach, and interactive design solutions. As a non-profit research initiative, aihorizon R&D is dedicated to creating Responsible AI that drives positive change and benefits society as a whole.
Our Philosophy
aihorizon R&D envisions Responsible AI through the lens of the event horizon: both metaphor and structure, it serves as a framework capturing the interplay of technology and the norms that shape it. The event horizon, a boundary between the known and the unknown, symbolizes the threshold of our technological existence, where possibilities converge with profound uncertainty. In the artwork, the horizon takes the form of a geometric structure—a lattice of order and abstraction reflecting technology’s dual nature: as both a tool of translation and a force of transformation, shaping culture and nature alike. These elements resonate with the essence of concept creation itself: a form of world-making that enables a shared space for agreement, disagreement, mutual understanding, and collective learning. Within this framework, we position technology as a normative construct, where human action and responsibility are intrinsic rather than optional. The events of our technological lives—how we live, create, and relate—are inextricably interwoven with the frameworks we build to guide them. Like the structured arcs and shifting planes of the visual composition, our technological world is both fluid and defined, shaped by the interplay of ethics, design, and innovation. Humanity, depicted as gazing toward the horizon, embodies a shared curiosity and awe for the unknown. Yet this gaze is not passive; it represents active engagement with what technology could and should mean. Our understanding of Responsible AI stands as the event horizon itself—a structure to guide the unfolding of technological events, ensuring that the future we create is anchored in both our capacity for innovation and our commitment to the ethical dimensions of existence. “aihorizon” invites us to reflect on this interdependence, challenging us to see technology not as an external force but as an extension of our norms, values, and shared aspirations—where the unknown is not just a boundary but a call to action, a space where being and becoming are inseparably linked.
Team
Founder & Researcher
Dr. Michael Jülich
Michael is a researcher specializing in the philosophy of science, holding a PhD at the intersection of the philosophy of law and mathematical logic. He steers R&D's AI conceptualization and guides its research program, drawing on a diverse academic background in linguistics, literature, history, and law.
Researcher
Sonja Kellner
Sonja is a Cloud Solution Architect at Microsoft specializing in Responsible AI. She conducts research within R&D as part of our Responsible AI framework and actively raises awareness of the field at LMU Munich, leveraging her background in Business Information Systems.
Researcher
Prof. Dr. Anna Altmann
Anna, a Professor of Human Resources and Organizational Development at Darmstadt University of Applied Sciences, specializes in Lifelong Learning. With a background in Psychology, she conducts research at R&D, exploring how AI shapes workforce development, enhancing learning and adaptability.
AI Designer & Engineer
Leon Kollofrath
Leon is a multi-talented software engineer at R&D with expertise rooted in his academic background in humanoid robotics and computer engineering. His broad interests span across emerging technologies, constantly driving him to explore new and innovative solutions.
Lead AI Engineer
Moritz Goeke
Moritz is a skilled Cloud Solutions Architect specializing in Azure AI. With a background in Computer Science from RWTH Aachen University, he leads our front-end and back-end development, bringing a well-rounded approach to modern software solutions.
UX Designer
Marc Loewer
Marc, a consultant at Hudson Goodman, holds a degree in Information Design and Interaction from Berlin University of the Arts. With a forward-thinking approach to constructivistic interaction design, he emphasizes innovation and user-centered solutions at R&D.
Researcher
Moritz Weckbecker
Moritz is a PhD student at Fraunhofer HHI in Berlin, specializing in AI Interpretability. With a strong academic foundation in mathematics and statistics, he holds degrees from both Oxford and Cambridge University. His research at R&D is driven by a passion for making AI more transparent, reliable, and accessible.
AI Engineer
Silas Stulz
Silas is currently pursuing a degree in Computer Science at KIT Karlsruhe. With a keen eye for innovation and problem-solving, he thrives on exploring the latest advancements in artificial intelligence and technology.
AI Engineer & Sustainability
Anna Wiewer
Anna is a Cloud Solution Architect in Data & AI at Microsoft with a background in Business & Management (Royal Holloway, University of London) and Consumer Science (Technical University of Munich). She focuses on AI and sustainability in R&D, exploring technology's positive environmental and social impact.
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