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R&D

At aihorizon R&D, we partner with academia, non-profits, and industry to shape the future of Responsible AI. Blending advanced technology, ethical insight, and creative expression, we bridge the gap between theory and practice. Our work is driven by real-world validation and impact, turning bold ideas into action for the public good.

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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.

Storytelling

Team

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Founder & Researcher

Dr. Michael Jülich

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Michael is a researcher specializing in the philosophy of science, with a PhD at the intersection of legal philosophy and mathematical logic. He leads R&D’s AI conceptualization and research strategy, bridging the normative and technological to anchor innovation in philosophical insight.

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Researcher

Sonja Kellner

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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.

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Researcher

Prof. Dr. Anna Altmann

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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.

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AI Designer & Engineer

Leon Kollofrath

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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.

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Technical Lead

Moritz Goeke

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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.

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AI Engineer & Sustainability

Anna Wiewer

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​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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Researcher

Moritz Weckbecker

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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.

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AI Engineer

Silas Stulz

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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.

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UX Designer

Marc Loewer

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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.

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Researcher

Linde Liu

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Linde is a researcher with a Master’s in logic and philosophy of science from MCMP. She explores AI at the intersection with cognitive science, combining conceptual insight with technical skills in programming and data science. Passionate about social impact, she advocates for responsible AI and contributes to shaping its ethical direction.

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Researcher

Dr. Hans Lückhoff

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Hans is a lawyer in public service with a PhD focused on the constitutional framework governing public sector algorithms. He is committed to shaping the evolving intersection of law, ethics, and technology, bringing a critical legal perspective to aihorizon R&D.

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Development & Strategic Partnerships

Inga Lüders

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Inga is a seasoned digital strategy consultant with expertise in Responsible Innovation, Tech Ethics, Marketing, and MarTech. She specializes in the intersection of digital innovation and ethical responsibility, with deep knowledge of AI Ethics and a passion for ensuring responsible AI development through both theory and practice.

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Researcher

Puntis Palazzolo

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Puntis is an AI/ML product expert and PhD researcher in AI Ethics with over a decade of experience across academia and industry in roles spanning Responsible AI governance lead, product strategy, and applied research. Named one of the “100 Brilliant Women in AI Ethics” in 2025, she drives responsible, human‑centered AI forward.

Partner

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Fusing Technology, Ethics, and Creative Expression.

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