My work centres on the ethics of technological tool use — how AI systems and brain-computer interfaces become integrated into cognition, reshaping belief structures and the doxastic authorities that drive action.
Cambridge, 2024
Dvija Mehta is an AI ethicist, neuro-ethicist, and philosopher of mind at the University of Cambridge. Her research explores the normative implications of emerging technologies and how they reshape human cognition, agency, and self-understanding.
Founder & CEO of Arqadia AI, leading a deep-tech stealth BCI startup. Her entrepreneurial work bridges cutting-edge neuroscience research with scalable technology, aiming to develop ethically grounded brain-computer interfaces.
PhD Researcher in the Ethics of Human-AI Interaction & Philosophy of Science. Convener of the Kinds of Intelligence Reading Group at the Faculty of Philosophy, University of Cambridge, exploring artificial intelligence, consciousness, and cognitive science.
Examining the normative frameworks that govern the design, deployment, and regulation of artificial intelligence systems in democratic societies. From algorithmic bias to AI autonomy, interrogating the moral foundations of computational decision-making.
Investigating the ethical implications of brain-computer interfaces — from cognitive liberty and mental privacy to the augmentation of human cognition. Central to this work is the Contemplation Conundrum: what happens when thought itself becomes a tool interface, blurring the boundary between intentional action and involuntary neural output.
Probing the nature of consciousness, subjective experience, and whether machine intelligence could ever be genuinely sentient or morally considerable.
When we merge mind and machine, the traditional borders of the self dissipate.
Dvija Mehta — BBC Future, 2024Academic publications, public writing, and preprints exploring the ethical dimensions of emerging technologies.
“Under some theories of intentional action, certain BCI-mediated overt movements qualify as both voluntary and unintentional.”
When a device reads and writes directly to the brain, the boundary between self and tool begins to dissolve.
“People's processes of forming and upholding beliefs are offloaded onto an AI system with downstream consequences on behavior.”
Exploring the phenomenological dimensions of creativity that computational systems lack — the “what it is like-ness” unique to lived experience.
Commentary on the creative intelligence of computational AI, explaining that limitations in expressive art stem from the absence of consciousness and subjective experience.
Listen →Exploring how AI learns from our biases, the risks of opaque models, and the challenge of Social AI — machines designed to simulate empathy and consciousness.
Watch →Discussion of Neuralink's N1 implant, the Contemplation Conundrum, and the cyberpunk vision of a future where mind and machine intertwine.
Listen →A conversation exploring the future of aesthetics, examining the “what it is like-ness” argument for uniquely human creativity and phenomenological experience.
Watch →Exploring access versus phenomenal consciousness and whether consciousness could ever arise in artificial intelligence — and what that would mean for moral status.
Watch →ASSC-27
Darwin College Seminar Series
Cambridge Neuroscience, 34th Annual Conference
ASSC-26
Darwin College Science Seminar Series
Leverhulme Centre for the Future of Intelligence
Whether for academic collaboration, speaking engagements, media inquiries, or to explore ideas at the frontier of AI and philosophy.