Regulación ética de IA: Marcos y buenas prácticas para la equidad y la transparencia
| Pages | 164-174 |
| Date | 01 January 2026 |
| Published date | 01 January 2026 |
| Author | Viktoriia Riabokon |
| Subject Matter | Social Sciences |
TELOS: Revista de Estudios Interdisciplinarios en Ciencias Sociales
ISSN 1317-0570 / ISSN (e) 2343-5763
Vol.
28
(1)
. Enero-Abril
2026
164
Universidad Privada Dr. Rafael Belloso Chacín, Venezuela
REGULATING ETHICAL AI: FRAMEWORKS AND BEST PRACTICES FOR FAIRNESS AND
TRANSPARENCY
Viktoriia Riabokon
https://orcid.org/0009-0007-2870-2871
RECIBIDO: 15/09/2025 / ACEPTADO: 06/12/2025 / PUBLICADO: 15/01/2026
ABSTRACT
The relevance of the study is due to the fragmented nature of the current ethical and legal regulation of AI alongside the lack of a unified
model of regulatory compliance against the backdrop of trans jurisdictional risks. The purpose of this study is to substantiate the
SCALEs-15 framework as an integrated model for AI regulation, grounded in the principles of equity and transparency. The research
employed an array of methods, including comparative ethic-legal analysis, decomposition of normative model, metric conformity
assessment, normative modeling , as well as legal forecasting. The optimized S CALEs-15 demonstrated complete coverag e of target
metrics, exceeding the AI Act in terms of the level of operationalization of principles and for procedural certification, which makes it
expedient to legally endorse it as a unified model for the ethical and legal regulation of AI. The scientific novelty of the research lies in
the substantiation of SCALEs-15 as the first normatively structured model that integrates principles of AI governance with metrics of
fairness, privacy, and accountability into a procedural compliance system.
Keywords: AI Governance; ethical compliance; fairness metrics; regulatory harmonization; legal accountability; scales-15 framework;
AI risk stratification
Regulación ética de IA: Marcos y buenas prácticas para la equidad y la transparencia
RESUMEN
La pertinencia del estudio se debe a la naturaleza fragmentada de la actual regulación ética y jurídica de la IA, junto con l a falta de un
modelo unificado de cumplimiento normativo en un contexto de riesgos trans jurisdiccionales. El propósito de este estudio es
fundamentar el marco SCALEs-15 como modelo integrado de regulación de la IA, basado en los principios de equidad y transparencia.
La investigación empleó una serie de métodos, como el análisis ético-jurídico comparativo, la descomposición del modelo normativo,
la evaluación de la conformidad métrica, el modelado normativo y la previsión jurídica. El SCALEs -15 optimizado demostró una
cobertura completa de las métricas objetivo, superando la Ley de IA en cuanto al nivel de operacionalización de los principios y para la
certificación procedimental, lo que hace conveniente respaldarlo legalmente como modelo unificado para la regulación ética y legal de
la IA. La novedad científica de la investigación radica en la fundamentación de SCALEs-15 como el primer modelo normativamente
estructurado que integra principios de gobernanza de la IA con métricas de equidad, privacidad y responsabilidad en un sistema de
cumplimiento de procedimientos. Las futuras vías de investigación se centran en el modelado detallado de SCALEs-15, con el objetivo
de transformar los principios en procedimientos normativos aplicables.
Palabras clave : Gobernanza de la IA; cumplimiento ético; métricas de equidad; armonización normativa; responsabilidad jurídica;
marco de escalas-15; estratificación del riesgo de IA.
Introducción
The institutionalization of artificial intelligence (AI) is accompanied by a fragmentation of the regulator y landscape, an
asymmetry in the legal efficacy of various legislative acts (such as the AI Act, GDPR, ISO/IEC 42001 ), and a conspicuous absence of
a cohesive model for implementing the principles of fairness, transparency, privacy, accountab ility, and auditability. The lack of
formalized mechanisms for metric evaluation and procedural compliance necessitates the developme nt of a comprehensive
framework that integrates ethical, technical, and legal requirements into a unified system of certificati on, monitoring, and accountability
for high-risk AI systems (Riabokon, 2025).
The purpose of this study is to formulate and substantiate an optimized ethical and legal framework f or the regulation of
artificial intelligence applications (SCALEs-15), which ensures the integration of the principles o f fairness, privacy, transparency,
accountability, and auditability through normatively oriented implementation mechanisms, metric ve rification, and alignment with
international regulatory acts (AI Act, GDPR, ISO/IEC 42001).
To achieve the stated purpose, the following tasks were undertaken:
− an ethical and legal comparative analysis of key regulatory acts (AI Act, GDPR, ISO/IEC 42001) in accordance with the criteria
of legal force, ethical coverage, as well as judicial practice;
− decomposition of the SCALEs-15 framework was undertaken, encompassing the examination of internal structural
consistency, typology of principles, and their alignment with contemporary regulat ory acts;
Master of Laws, Lawyer, AI Ethics Consultant. Ukraine. wiolettawwwww@gmail.com
Cómo citar: Riabokon, V. (2026). Regulating ethical ai: frameworks and best practices for fairness and transparency. Telos: Revista de Estudios
Interdisciplinarios en Ciencias Sociales, 28(1), 164-174. www.doi.org/10.36390/telos281.16
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