Biography
Velikovsky, Ph.D., is an Evolutionary Culturologist affiliated with the University of Newcastle, Australia. His research develops Evolutionary Culturology, a meta-meta-scientific framework for studying systems, information, communication, creativity, cultural evolution, and consilience across disciplines. Evolutionary Culturology identifies units of culture, knowledge, technology, and natural systems as fractal HOLON/partons: units that integrate upward into larger systems, cooperate and compete laterally, and command and control their component parts. Velikovsky’s publications and projects span creativity science, cultural evolution, Big History, ethical AI, systems theory, and interdisciplinary education. In archive-grounded AI, his current work explores OmnoBot AIs, Evolutionary Culturology GPTs, and EthiSizer GPTs as governed epistemic interfaces for education and public-interest knowledge work. Dr JT Velikovsky Ph.D. is the founder of Evolutionary Culturology, the new meta-meta-science of all domains, including physics, chemistry, astronomy, geology, biology, psychology, sociology, anthropology, and culture. He is a PhD in Ev Cult (Communication/Media, in: Film / Screenwriting / Transmedia / Creativity / Cultural Evolution) and is an award-winning, million-selling Transmedia (Film, TV, Games, Novels, Comics) writer-director-producer.
Conference contributions 1
ARCHIVE-GROUNDED AI FOR INTERDISCIPLINARY EDUCATION:
BloomBot, VelikovskyBot, evolutionary culturology GPTs and EthiSizer GPTs as governed epistemic interfaces
Archive-grounded generative AI systems are increasingly important for science, education, culture, and public-interest knowledge work, yet their reliability depends on more than model performance alone. This paper examines three related systems - BloomBot, VelikovskyBot, and a family of Evolutionary Culturology GPTs and EthiSizer AI GPTs - as case studies in transparent, socially responsible human-AI-archive interaction. We argue that such systems should be understood not merely as chatbots, but as governed epistemic interfaces: systems that mediate between users and curated bodies of expert knowledge, while making sources, limits, and interpretive steps visible. BloomBot, developed by Ryan T. Dean, supports engagement with Howard Bloom's interdisciplinary archive. VelikovskyBot extends this approach to J. T. Velikovsky's archive and the meta-meta-science of Evolutionary Culturology. The Ev Cult GPTs further explore how archive-grounded AI can assist interdisciplinary education and public reasoning by mapping concepts across domains through the universal unit of the fractal HOLON/parton. The paper also considers the international portability of such systems, comparing their potential relevance for Australian, North American/Canadian, Balkan/EU, and MENA/Global South educational and cultural contexts. We propose a practical design framework for public-interest AI: source grounding, inference labelling, persona restraint, epistemic humility, and user-facing explainability. These principles help reduce hallucination, preserve intellectual context, and build public trust in AI-assisted inquiry.