Jan Feyereisl

GoodAI (Czechia), University of Nottingham

Papers

Total Citations

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About

Jan Feyereisl is a researcher whose work bridges artificial intelligence, robotics, and cognitive science, with a particular focus on understanding and replicating intelligence. His most-cited paper, "Mapping Intelligence: Requirements and Possibilities" (2018, 47 citations), offers a foundational framework for defining and measuring intelligence across biological and artificial systems, challenging conventional benchmarks and proposing a more nuanced, multidimensional approach. This work has influenced discussions in AI alignment and machine consciousness. Earlier, Feyereisl explored biologically inspired robotics in "Don’t Touch Me, I’m Fine: Robot Autonomy Using an Artificial Innate Immune System" (2006, 22 citations), where he introduced a novel control architecture that mimics the human immune system to enable robots to autonomously avoid harm and adapt to their environment—a creative departure from traditional reactive or rule-based systems. His contributions lie at the intersection of theoretical AI and embodied cognition, advocating for a deeper, more integrated understanding of intelligence that goes beyond narrow task performance. With a career spanning academia and industry, Feyereisl’s work continues to inspire researchers seeking to build more robust, adaptive, and ethically grounded AI systems.