Rafael Darío Amador Pérez
Writer, researcher, and retired Lieutenant Colonel of the Ejército de República Dominicana. Author of Humanoide en la Torre de Babel, the first book to propose a binding global independent commission for mandatory pre-deployment AI bias auditing.
A Caribbean Voice in the Global AI Ethics Debate
Rafael Darío Amador Pérez was born in Azua, Dominican Republic, in 1964. He pursued a career in the Ejército de República Dominicana, retiring as a Lieutenant Colonel. Parallel to his military service, he earned a law degree from the Universidad del Caribe (UNICARIBE) and developed a sustained research focus on the intersection of neuroscience, legal theory, and the governance of emerging technologies.
In my research, I have identified what I consider the most consequential blind spot in global AI ethics: the absence of Caribbean and Latin American scholarly frameworks in governance models that will directly affect more than 600 million people. The dominant literature — from the EU AI Act to the NIST Risk Management Framework — was designed primarily by and for OECD institutions. The Dominican Republic, which launched its National Artificial Intelligence Strategy (ENIA) via Decreto 498-23 and inaugurated the Centro de Excelencia en IA (CEIA-RD) in June 2026, needs its own ethical and legal framework. That is what this work attempts to build.
My approach is interdisciplinary by design. Command structures in military organizations require genuine accountability chains — not self-regulatory guidelines, but binding obligations with real enforcement. That experience informs my critique of every AI governance model currently in force, all of which permit some form of self-audit or company-selected audit that I document as a structural conflict of interest. The Neurological Birth Certificate model I propose eliminates that conflict at the source.
Key Facts
Born
1964, Azua, Dominican Republic
Education
Licenciado en Derecho, UNICARIBE
Military
Retired Lieutenant Colonel, Ejército de República Dominicana
Books
4 published works
Primary Work
Humanoide en la Torre de Babel (2024)
Focus
AI Ethics, Neural Analysis, Technology Law
Three Original Contributions to AI Ethics
Neural Analysis
A pre-deployment diagnostic methodology for artificial neural networks. Applies saliency maps, concept activation vectors (TCAV), and perturbation stress testing to detect hidden bias before AI systems are deployed to real-world populations.
Computational Negligence Syndrome
The legal-ethical concept that deploying a high-impact AI system without an independent pre-deployment bias audit constitutes deliberate assumption of foreseeable risk — a form of civil liability that existing law has failed to fully name or enforce.
Neurological Birth Certificate
A proposed binding global certification model: no artificial neural network may be deployed without review and clearance by an independent multidisciplinary commission of physicians, lawyers, neurologists, and sociologists. Eliminates the structural conflict of interest in all existing audit regimes.
Books by Rafael Darío Amador Pérez
Humanoide en la Torre de Babel
Importancia del Análisis Neuronal
ISBN 978-9945302370 · Spanish · Paperback $19.97 · Kindle $9.97
The primary work. Proposes Neural Analysis as a mandatory pre-deployment audit methodology for AI systems, introduces the legal concept of Computational Negligence Syndrome, and argues for a globally binding Neurological Birth Certificate certification model. Engages the EU AI Act, UNESCO AI Ethics Recommendation, NIST RMF, FDA §524B, and MDR conformity standards — and critiques each as insufficient.
Available for Lectures, Panels & Conferences
Rafael Darío Amador Pérez is available for guest lectures, academic panel discussions, keynote addresses, and conference presentations on AI ethics, algorithmic bias, neural analysis, technology law, and human-AI communication. He presents in Spanish, with materials available in English.
Topics suitable for university audiences include: mandatory algorithmic bias auditing, the legal liability gap in AI governance, the Caribbean and Latin American perspective on AI regulation, explainable AI and its legal implications, and the failure modes of self-regulatory audit models.
Speaking Inquiry via WhatsAppAbout the Author
What is Rafael Darío Amador Pérez's academic background?
Rafael Darío Amador Pérez holds a law degree (Licenciado en Derecho) from the Universidad del Caribe (UNICARIBE) and retired as a Lieutenant Colonel from the Ejército de República Dominicana. His interdisciplinary research spans neuroscience, technology law, AI ethics, and the philosophy of artificial intelligence. He is the author of four published books, with Humanoide en la Torre de Babel being his primary work on neural analysis and AI ethics.
What is Neural Analysis and why did Darío Amador Pérez develop it?
Neural Analysis is a pre-deployment diagnostic methodology for artificial neural networks, developed by Rafael Darío Amador Pérez as a response to what he identifies as the founding myth of algorithmic neutrality. The methodology treats AI deployment the way clinical medicine treats pharmaceutical approval: no system may operate at scale without documented independent review of its internal bias patterns using interpretability techniques including saliency maps, TCAV vectors, and perturbation stress testing. He developed it because no existing global regulatory framework — including the EU AI Act — requires truly independent pre-deployment auditing.
Is Rafael Darío Amador Pérez available for speaking engagements?
Yes. Rafael Darío Amador Pérez is available for guest lectures, panel discussions, keynote addresses, and academic conferences on AI ethics, algorithmic bias auditing, neural analysis, technology law, and human-AI communication. He presents in Spanish, with materials available in both Spanish and English. Contact via WhatsApp or the site contact form with your institution name, event date, and topic.
What makes this author's perspective on AI ethics different from other academics?
Three things distinguish Rafael Darío Amador Pérez's work from the dominant North American and European AI ethics literature. First, a Caribbean and Latin American intellectual perspective that surfaces global blind spots in frameworks designed primarily for OECD markets. Second, a military command background that produces a distinctive analysis of accountability structures — he understands from direct experience what genuine independent oversight requires, as opposed to the self-regulatory models most AI governance frameworks actually implement. Third, an interdisciplinary methodology that integrates neuroscience, legal theory, and technology philosophy rather than treating them as separate disciplines.
What is the Neurological Birth Certificate model and how does it differ from current AI audit regimes?
The Neurological Birth Certificate is a binding global certification proposed in Humanoide en la Torre de Babel: no artificial neural network may be deployed in high-impact contexts without review and clearance by an independent multidisciplinary commission of physicians, lawyers, neurologists, and sociologists. The commission has legal veto power — not advisory authority. Unlike NYC Local Law 144, which allows companies to select their own auditors, or the EU AI Act conformity assessment, which permits notified bodies with commercial relationships, the Neurological Birth Certificate eliminates the conflict of interest structurally: no entity with any financial relationship with the AI developer may participate in the certification review.