Responsible AI for Leaders
Lead responsible AI adoption in your organisation. This course equips you with practical frameworks to assess risk, apply ethical principles and translate AI potential into clear, confident strategic decisions.
PhD in Cognitive Neuropsychology, MS in Neuroscience, BS in Cognitive Science
Research Associate at the Kinds of Intelligence Programme, Leverhulme CFI, University of Cambridge
Jonathan is a Research Associate in the Kinds of Intelligence Programme at the Leverhulme CFI, where he develops cognitive assessments to evaluate and align the capabilities of AI and people on workplace tasks. His background spans developmental psychology, neuroscience and cognitive science.
Lead responsible AI adoption in your organisation. This course equips you with practical frameworks to assess risk, apply ethical principles and translate AI potential into clear, confident strategic decisions.
Prunty, J. et al (2026). General scales unlock AI evaluation with explanatory and predictive power (opens in a new tab). Nature, 652, 58–67.
Prunty, J. et al (2026). A little less conversation, a little more action, please: Investigating the physical common-sense of LLMs in a 3D embodied environment (opens in a new tab). arXiv, cs.AI.
Prunty, J, et al (2025). Effect of strengths-based care: Community led support (opens in a new tab). European Journal of Ageing, 22, 51.
Prunty, J, et al (2025). INTUIT: Investigating intuitive reasoning in humans and language models (opens in a new tab). In Proceedings of the Annual Meeting of the Cognitive Science Society, 47.
Prunty, J, et al (2025). Association between digital front doors and social care use for community-dwelling adults in England: Cross-sectional study (opens in a new tab). Journal of Medical Internet Research, 27, e53205.
Prunty, J, et al (2024). A cognitive template for human face detection (opens in a new tab). Cognition, 249, 105792.
Prunty, J, et al (2024). Face detection in contextual scenes (opens in a new tab). PLoS ONE, 19(6), e0304288.