Research Collaboration
Beyond the Selfish Gene
A collaboration between Dr William B. Miller Jr. and Richard Dobson — bridging evolutionary biology and human-centred AI.
We are targeting peer-reviewed publication in AI & Society in Q3 2026
Richard Dobson
Founder, Clara Futura World
Dr William B. Miller Jr.
Evolutionary Biologist & Author
About Dr William B. Miller Jr.
Dr William B. Miller Jr. (MD) is an internationally recognised physician, evolutionary biologist, and author whose pioneering work has fundamentally challenged the prevailing Neo-Darwinian narrative of evolution. Over more than three decades at the intersection of clinical medicine and theoretical biology, Dr Miller developed Cognition-Based Evolution (CBE) — a rigorously argued, peer-reviewed framework proposing that all cells are intelligent, self-referential agents that drive evolutionary development through cooperative information management rather than random genetic mutation and natural selection alone.
Dr Miller graduated from Northwestern University’s prestigious Six-Year Medical Honours Program, earning both a Bachelor of Science in Biology and a Medical Degree. He was elected to Alpha Omega Alpha, the national medical honour society — a distinction awarded to fewer than 10% of graduating medical students. Following a surgical internship at Barnes Hospital, St. Louis and residency in Diagnostic Radiology at the Mallinckrodt Institute of Radiology, Washington University School of Medicine, he spent more than 30 years in academic and private medical practice as a board-certified radiologist, serving as Clinical Assistant Professor at Penn State University.
His transition from clinical medicine to theoretical evolutionary biology was catalysed by a chance encounter with Sue, the Tyrannosaurus Rex skeleton at the Chicago Field Museum — prompting a recognition of profound structural continuities across evolutionary time that conventional theory could not convincingly explain.
Key publications
Cognition-Based Evolution: Natural Cellular Engineering and the Intelligent Cell — CRC Press / Taylor & Francis, 2023
The Microcosm Within: Evolution and Extinction in the Hologenome — Universal Publishers, 2013
Bioverse: How the Cellular World Contains the Secrets to Life’s Biggest Questions — 2021
Author of more than three dozen peer-reviewed, highly cited academic articles on evolutionary biology, published in Progress in Biophysics & Molecular Biology, Communicative & Integrative Biology, and other leading journals.
Current roles
Senior Fellow, Bioverse Foundation · Scientific Advisor & Ambassador, RINHUMAI (Stichting Research Institute Netherlands for Harmonizing Human and AI Intelligence) · Advisor, Clara Futura World · Co-Editor, Society for the Advancement of Meta-Darwinism
Forthcoming Paper
From Intelligent Cells to Deeply Human AI
William B. Miller Jr. & Richard Dobson · Target journal: AI & Society
What if the deepest framework for human-centred AI is not computational — but biological?
This paper proposes a fundamentally different foundation for AI alignment. Drawing on Miller’s Cognition-Based Evolution (CBE) and Dobson’s Layered Intelligence Theory (LIT), the paper argues that the most robust framework for human-centred AI is rooted in the 3.8-billion-year record of how cognitive cells have negotiated cooperation, constitutive ambiguity, and self-integrity across every scale of life.
Three linked claims
The Dynamic Alignment Thesis
At the heart of the paper is a single, actionable proposition: AI alignment is not a problem to be solved but a practice to be sustained. Because the living frame is constitutively ambiguous, and because ethical coherence must be continuously negotiated among diverse agents, alignment must be recursive, pluralistic, and assessed always through the lens of vulnerability — who becomes more exposed because of this change?
Why this matters
Current AI alignment discourse is almost entirely computational and reductionist — treating intelligence as an optimisation problem and alignment as a technical specification. This paper offers a unified, cross-scale synthesis: from intelligent cells, through layered human intelligence, to a biologically grounded paradigm for AI governance. It proposes that the principles most urgently needed in AI governance are not derived from philosophy by analogy with biology — they are derived from biology directly, because they are what biology has empirically required for 3.8 billion years.
Full paper currently under preparation. We are targeting peer-reviewed publication in AI & Society in Q3 2026.
The world is one family
Interested in this research or exploring collaboration?