Commentary on the creative intelligence of computational AI, especially generative models like Stable Diffusion, DALL·E 2 and ChatGPT. Explaining that the limitations of AI in expressive art stem from its lack of consciousness — the absence of subjective experience that underlies true creativity.
Exploring how AI systems learn from the world's biases, the risks of opaque "black box" models, and the growing challenge of Social AI — machines designed to simulate empathy and consciousness. The problem of anthropomorphising takes centre stage through vivid examples: from biased hiring algorithms to emotionally responsive chatbots. The talk asks a profound question: if machines are learning from us, what kind of teachers are we, and what kind of future are we building?
In episode 3, discussion of Neuralink's N1 implant — how it works, what it means, and what we can learn from Noland Arbaugh's experience. Drawing on the 2024 BBC article introducing the Contemplation Conundrum, unpacking the ethical questions surrounding the privacy of thought, the loss of executory control, and the cyberpunk vision of a future where mind and machine begin to intertwine.
A conversation exploring the future of art & aesthetics with the rise of AI art — from aesthetic judgements to the "what it is like-ness" argument for uniquely human creativity, highlighting the importance of phenomenology and subjective experience.
Watch →Exploring access versus phenomenal consciousness and whether consciousness could ever arise in artificial intelligence — and what that would mean for moral status.
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