Henry Shevlin: Past, Present, and Future of AI Consciousness
Henry Shevlin is a researcher at the Leverhulme Centre for the Future of Intelligence at the University of Cambridge, where he focuses on machine consciousness, AI ethics, and human - AI relationships.
He will soon join Google DeepMind, working on AGI readiness and the philosophical foundations of artificial intelligence. His work bridges philosophy, cognitive science, and AI development, making him a leading voice in understanding the implications of increasingly advanced AI systems.
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Summary
In this episode of Exploring Machine Consciousness, Dr. Henry Shevlin returns to explore how our understanding of consciousness is evolving in the age of advanced AI. From philosophy and neuroscience to the rapid progress of modern language models, Henry examines whether intelligence alone is enough, or whether something deeper (like continuous experience) is required for consciousness. Henry argues that consciousness is no longer just a philosophical or scientific puzzle, but a question that will increasingly be shaped by technological development and societal choice. As AI systems become more capable, more autonomous, and more socially embedded, how we interpret and respond to them. We discuss:
Whether current AI systems could already be conscious, and the role of time and continuity.
The relationship between consciousness and moral status, including challenges to sentientism.
The "anthropomimetric turn" in AI design and the rise of human-AI emotional attachment.
Risks of anthropomorphism and the culture wars around AI rights.
Resource List
Henry’s personal site – henryshevlin.com
Shevlin, H. (2026). Three Frameworks for AI Mentality. Frontiers in Psychology, 17..
Shevlin, H. (2025). The Anthropomimetic Turn in Contemporary AI.
Shevlin, H. (2024). All Too Human? Identifying and Mitigating Ethical Risks of Social AI. Law, Ethics & Technology, 2(3).
Shevlin, H. (2024). Consciousness, Machines, and Moral Status. In A. Strasser (ed.), Humans and Smart Machines as Partners in Thought.
Shevlin, H., & Halina, M. (2019). Apply Rich Psychological Terms in AI with Care. Nature Machine Intelligence, 1(4), 165–167.
The Digital Minds Newsletter https://www.digitalminds.news/
Credits
Hosts: Will Millership, Calum Chace
Guest: Dr Henry Shevlin
Podcast: Exploring Machine Consciousness
Produced by: PRISM
Editor: Gerry Okinyi