The Spanish-Language AI Ethics Textbook Your Curriculum Has Been Missing
Humanoide en la Torre de Babel gives your students a rigorous, original Spanish-language framework for understanding AI ethics, algorithmic accountability, and the legal responsibility of AI developers — written by Dominican scholar and retired Lieutenant Colonel Rafael Darío Amador Pérez.
Why does an AI ethics course need a Spanish-language primary text?
Hispanic-Serving Institutions enroll more than 60% of all Latino undergraduates in the United States. As AI ethics becomes a required or strongly recommended component of computer science, law, and social science curricula, faculty at HSIs face a specific challenge: their students deserve rigorous, original academic material in Spanish — not machine-translated summaries of English texts.
Humanoide en la Torre de Babel is not a translation. It is an original scholarly work written in Spanish, grounded in a Caribbean and Latin American intellectual perspective, that engages critically with the same international frameworks your students will encounter: the EU AI Act, the UNESCO Recommendation on the Ethics of AI, and the NIST AI Risk Management Framework.
The book also provides a rigorous critique of why laws like NYC Local Law 144 — which permit companies to select their own auditors — fail to achieve genuine independence and represent normative simulations rather than real oversight. That critical dimension is what makes this book academically valuable: it does not merely describe existing frameworks, it analyzes their structural failure modes.
Humanoide en la Torre de Babel
Importancia del Análisis Neuronal
Rafael Darío Amador Pérez · ISBN 978-9945302370
Language
Spanish (original)
Format
Paperback · Kindle
Paperback Price
USD $19.97
Kindle Price
USD $9.97
Publisher
Independent (Dominican Republic)
Available
Amazon (global) · Direct from author
Where Does This AI Ethics Textbook Fit Your Curriculum?
AI Ethics (undergraduate / graduate)
Technology Law & Algorithmic Accountability
Artificial Intelligence — Introductory Survey
Philosophy of Technology
Latin American Studies — Technology Track
Bilingual STEM Programs
Responsible AI & Society
Neuroscience & Cognitive Systems
Human-Computer Interaction
Interdisciplinary Technology Seminars
A 15-week syllabus framework is available as a companion resource. View the full course syllabus (Spanish).
What Students Learn
Neural Analysis
A pre-deployment diagnostic methodology for artificial neural networks — the equivalent of a clinical assessment before a drug goes to market. Students learn to evaluate AI systems before harm occurs, not after.
Computational Negligence Syndrome
The legal-ethical concept that deploying an AI system without independent pre-deployment audit constitutes deliberate assumption of risk at the expense of third parties — a form of foreseeable civil liability, not a technical accident.
Neurological Birth Certificate
A proposed binding certification model: no artificial neural network deployed without review by a truly independent global multidisciplinary commission. Unlike NYC Local Law 144, this model eliminates the conflict of interest at the source.
These frameworks engage critically with the EU AI Act, the UNESCO Recommendation on the Ethics of AI, and the NIST AI Risk Management Framework. The book offers a rigorous critique of NYC Local Law 144 (2021) as a normative simulation — companies select their own auditors, reproducing the conflict of interest it claims to solve. Students learn not just what current law says, but why it falls short.
From the Author to Academic Institutions
I wrote this book because I identified a concrete gap: there is no Spanish-language academic text that engages seriously with AI ethics from a Caribbean and Latin American intellectual perspective. The frameworks I propose — Neural Analysis, Computational Negligence Syndrome, the Neurological Birth Certificate — are not philosophical abstractions. They are operationally specific enough to be enacted by legislatures and applied by independent technical commissions. My goal is for this work to be taught, challenged, and built upon by the next generation of scholars and policy makers who will govern AI systems in our region.
— Rafael Darío Amador Pérez
Faculty Questions
What courses is Humanoide en la Torre de Babel appropriate for?
The book is suitable for AI Ethics (undergraduate and graduate), Technology Law and Algorithmic Accountability, Artificial Intelligence Survey Courses, Philosophy of Technology, Latin American Studies with a technology focus, Bilingual STEM programs, Responsible AI and Society, Neuroscience and Cognitive Systems, Human-Computer Interaction, and interdisciplinary AI seminars. It is particularly well-suited as the primary Spanish-language text in AI ethics courses at HSIs where students benefit from rigorous academic material in their language.
Is the book available in digital format for university platforms?
Yes. The book is available in Kindle format on Amazon ($9.97), making digital access straightforward for students. For LMS platform integrations or institutional licensing arrangements, contact the author directly.
How do faculty request an exam or desk copy?
Contact the author directly via WhatsApp or the site contact form with your institution name, course name, expected enrollment, and semester. The author responds personally to all institutional inquiries within 24-48 hours.
Can the author speak at our institution or conference?
Rafael Darío Amador Pérez is available for guest lectures, panel discussions, keynote addresses, and academic conferences on AI ethics, algorithmic accountability, neural analysis, and technology law. He presents in Spanish, with materials available in English. Contact us to coordinate.
How does this book align with the EU AI Act and NIST AI RMF?
The book engages both frameworks critically. On the EU AI Act, Articles 10, 14, and 16 are analyzed as establishing compliance obligations that do not go far enough because they still permit company-managed audit processes — what the author documents as a normative simulation. On the NIST AI RMF, the Govern-Map-Measure-Manage structure is recognized as a useful risk taxonomy that stops short of enforceable independent oversight. The book's central argument is that only a binding global independent commission with legal veto power constitutes genuine algorithmic accountability. This critical engagement makes it ideal for advanced courses on AI law and governance.
Is there a syllabus or course integration guide available?
Yes. A 15-week syllabus framework developed by the author is available as a companion resource. It maps each chapter to learning objectives across AI ethics, technology law, and social impact. A Spanish-language version is also available. Contact the author to receive the syllabus.
Ready to Adopt This Book?
Contact Rafael Darío Amador Pérez directly for exam copies, bulk pricing, course integration support, and speaking inquiries.
The author responds personally to all institutional inquiries. Typical response time: 24-48 hours.
También disponible en español: Información para universidades