Fusing Technology, Ethics, and Creative Expression.

At aihorizon R&D, we help to learn, evaluate, and protect with responsible and sustainable AI. We run Horizon—our hands-on learning platform—stress-test models against misinformation and disinformation, and envision to deploy adaptive guard models powered by our code-driven Responsible AI Framework and Responsible AI Coach. From classrooms to industry, every project is validated in the field to serve the public good, grounded in aihorizon R&D’s role as a nonprofit advancing responsible and sustainable AI for all.
Learn Horizon
Hands-on learning for Responsible AI.
Evaluate — Design & Architecture
Invent, test, and build—securely.
Protect — Policy & Content Safety
Policies and Guard Models powered by our code-driven Responsible AI Framework.
Features
Innovative apps, powered by Horizon.
Stories
From case study to creative expression.

Our Philosophy
At aihorizon R&D, the event horizon is both metaphor and structure: a framework for how technology and the norms shaping it co-evolve. The horizon’s boundary—between the known and the unknown—captures the moment where possibility meets uncertainty. Our visual motif, a geometric lattice, reflects technology’s dual role as translation and transformation, shaping culture and nature alike. We treat technology as a normative construct, making human agency and responsibility intrinsic to design. The “events” of our technological lives—how we live, create, and relate—are braided with the frameworks that guide them. Responsible AI, for us, is the horizon itself: a structure that orients practice and decision-making so innovation remains anchored in ethics. The unknown becomes not a barrier but a summons to act—where being and becoming converge.

Dr. Michael Jülich
Founder & Chief Scientist
Michael, Chief Scientist at aihorizon R&D, leads AI conceptualization and research strategy, bridging the normative and the technological to ground innovation in theoretical insight. He holds a PhD at the intersection of legal philosophy and mathematical logic, complemented by academic roots in linguistics, history, and law.

Prof. Dr. Anna Altmann
Managing Director & Researcher
Anna, Professor of Human Resources and Organizational Development and Managing Director at aihorizon R&D, specializes in lifelong learning. With a background in psychology, she explores how AI shapes workforce development, enhancing learning and adaptability.



Dr. Hans Lückhoff
Legal Lead & Researcher
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.

Puntis Palazzolo
Researcher
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.


Joachim Nebel
Educational Lead
Joachim is a seasoned educator with extensive experience in pedagogy, didactics, and leadership as Principal Policy Advisor at the Educational Foundation Freiburg. He also works as a systemic coaching consultant and leads the educational cluster at aihorizon R&D. His academic background is in biology and history.

Moritz Weckbecker
Researcher
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.

Inga Lüders
Business Development & Strategic Partnerships
Inga is a seasoned digital strategy consultant with expertise in Responsible Innovation, Tech Ethics, Marketing, and MarTech. Drawing on her experience at Google, she brings deep knowledge of AI ethics and a passion for advancing responsible AI in both theory and practice.


Linde Liu
Researcher & Engineer
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.


Anna Wiewer
Engineer
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.
Team
Advisors
