Home
For Hispanic-Serving Institutions & Universities

The Spanish-Language Text Your AI Ethics Course 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 a Dominican scholar and retired military officer.

The Gap This Book Fills

631 HSIs. Almost no rigorous AI ethics material in Spanish.

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.

Humanoide en la Torre de Babel book cover

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 This Book Fits 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

The book's 15-week syllabus framework is available as a companion resource. View the full course syllabus.

Core Frameworks

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 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.

Faculty Questions

What courses is this book suitable for?

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.

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, contact the author directly.

How do we request an exam or desk copy?

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.

Can the author speak at our institution?

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.

How does this book connect to existing AI regulation frameworks?

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.

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