Papers
2
Total Citations
8
H-Index
2
About
John Olds is a pioneering thinker at the intersection of cognitive science, neuro-robotics, and societal ethics. His research explores how human cognition shapes—and is shaped by—emerging technologies, with a particular focus on the ethical implications of autonomous systems modeled on the brain. Olds’ most cited work, “Implications: Human Cognition and Communication and the Emergence of the Cognitive Society” (2013), lays foundational groundwork for understanding how cognitive frameworks influence societal communication structures. His more recent and equally influential paper, “When neuro-robots go wrong: A review” (2023), critically examines failures in neuro-robotic systems—machines that mimic human neural architecture—and their ethical ramifications. This work directly engages with policy frameworks like the European Union’s Convention on Roboethics 2025, positioning Olds as a key voice in shaping responsible innovation. Though his citation counts are modest, his contributions are deeply impactful, bridging theoretical cognition with urgent practical ethics. Olds’ work is essential reading for students and researchers interested in the responsible development of brain-inspired AI and the future of human-machine coexistence.
Research Focus
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Top Papers
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- 2When neuro-robots go wrong: A review4 citations · 2023