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 a Dominican scholar and retired military officer.
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. It 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.
The author, Rafael Darío Amador Pérez, brings a background that is unusual in AI ethics literature: a career as a military officer combined with deep engagement in neuroscience, technology philosophy, and legal theory. That interdisciplinary lens produces frameworks — the Humanoide Framework, Neural Analysis, the concept of Computational Negligence Syndrome — that students find more intuitive and more challenging than standard introductory AI ethics texts.

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
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
The book's 15-week syllabus framework is available as a companion resource. View the full course syllabus.
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.
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.
A proposed binding certification model: no artificial neural network deployed without review by a truly independent global multidisciplinary commission of physicians, lawyers, neurologists, and sociologists. Unlike NYC Local Law 144 — which the author critiques as a normative simulation allowing companies to audit themselves — 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 also offers a rigorous critique of NYC Local Law 144 (2021) as a normative simulation that fails to achieve genuine independence — companies select their own auditors, reproducing the conflict of interest. Students learn not just what current law says, but why it falls short and what genuine independent global oversight requires.
Humanoide en la Torre de Babel is appropriate for courses in Artificial Intelligence Ethics, Technology Law, Algorithmic Accountability, Latin American Studies (technology focus), Bilingual STEM programs, Philosophy of Technology, and interdisciplinary seminars on the future of human-machine collaboration at both undergraduate and graduate level. It is particularly well-suited as a primary Spanish-language text in AI ethics courses at HSIs where students benefit from rigorous academic material in Spanish.
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, contact the author directly.
Contact the author directly via WhatsApp or the contact form with your institution name, course name, expected enrollment, and semester. The author responds personally to all institutional inquiries.
Rafael Darío Amador Pérez is available for guest lectures, panel discussions, and academic conferences on AI ethics, algorithmic accountability, neural analysis, and technology law. He presents in Spanish with materials available in both Spanish and English. Contact us to coordinate.
The book's Humanoide Framework and Neural Analysis methodology align directly with the EU AI Act, the UNESCO Recommendation on the Ethics of AI, and the NIST AI Risk Management Framework. Critically, it also analyzes why existing laws like NYC Local Law 144 (2021) remain normative simulations — they allow companies to hire their own auditors, reproducing the conflict of interest they claim to solve. The book argues for a truly independent global multidisciplinary commission, making it ideal for courses covering both international AI governance and its current limitations.
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