Alessa Angerschmid
Papers
2
Total Citations
300
H-Index
2
About
Alessa Angerschmid is a leading voice at the intersection of artificial intelligence and human-centered design, with her work fundamentally reshaping how we think about AI in critical, real-world domains. Her research is anchored in three key areas: Human-in-the-Loop (HITL) systems, reinforcement learning, and the ethical deployment of AI in agriculture and forestry. Angerschmid’s most influential contribution is her 2022 paper, "Digital Transformation in Smart Farm and Forest Operations Needs Human-Centered AI," which has garnered 169 citations. In this seminal work, she argues that the success of digital transformation in these sectors hinges not just on powerful machine learning models, but on designing AI that augments human decision-making and prioritizes user trust. She further solidified her expertise with a 2024 survey on Human-in-the-Loop Reinforcement Learning (131 citations), where she reframes RL as an inherently collaborative paradigm, outlining critical requirements and opportunities for human-agent teamwork. Through her research, Angerschmid is pioneering a future where AI is not a replacement for human expertise, but a powerful, trusted partner in managing our most vital natural and agricultural resources.
Research Focus
Key Achievements
Top Papers
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