Carl Orge Retzlaff
Technische Universität Berlin, University of Life Sciences in Lublin
Papers
2
Total Citations
300
H-Index
2
About
Carl Orge Retzlaff is a leading voice at the intersection of artificial intelligence and human-centered design. His research focuses on making AI systems—particularly reinforcement learning (RL) and machine learning (ML)—more collaborative, transparent, and aligned with human values. Retzlaff’s most influential work, “Digital Transformation in Smart Farm and Forest Operations Needs Human-Centered AI” (2022, 169 citations), argues that the future of agriculture and forestry depends not just on automation, but on AI that works *with* people, addressing critical challenges in trust, safety, and decision-making. He further solidifies this vision in his highly cited survey, “Human-in-the-Loop Reinforcement Learning” (2024, 131 citations), where he reframes RL as an inherently collaborative paradigm, mapping out the requirements and opportunities for meaningful human oversight in autonomous systems. By championing the “human-in-the-loop” approach, Retzlaff is shaping how next-generation AI is built—not to replace humans, but to empower them in high-stakes, real-world environments.
Research Focus
Key Achievements
Top Papers
- 1
- 2