Record STMT-WD2D88BAspirational

Estrategia española de I+D+i en Inteligencia Artificial

Strategy State lawSouthern Europe · ESadopted

This document outlines Spain's national strategy for research, development, and innovation in artificial intelligence for 2019. It establishes six strategic priorities spanning organizational structures, key application sectors, knowledge transfer, talent development, digital data ecosystems, and ethical considerations. Additionally, it provides seven recommendations to align public policies, educational systems, and legal frameworks with the challenges of the AI transition.

Summary and content fields are drawn from the document text and are pending editorial review.

Who issued it

Gobierno de EspañaGovernment (executive) · ES

Lead issuer

Legal forceAspirational

Under whose authorityState law

Judged fromfull text

Who it governs

National governmentPublic sector bodiesCompaniesResearchers and academics

This strategy is intended for government officials, policymakers, researchers, and public-private stakeholders guiding Spain's digital transformation and AI policies.

Sectors

Cross-sectorResearch and science · AI R&D and innovation system

What the document contains

What's covered

The document covers the analysis of the Spanish R&D&I system regarding artificial intelligence, funding mechanisms, six strategic priorities for AI development and application across societal and economic sectors, and seven core recommendations for national policy alignment.

What's missing

It does not provide binding legislative mandates, specific civil liability rules for algorithmic harms, or detailed technical standards for software deployment.

Key takeaways

The strategy serves as the foundational stepping stone toward a comprehensive National AI Strategy in Spain.
It sets six strategic priorities covering organizational structures, targeted application areas, knowledge transfer, training, data ecosystems, and AI ethics.
It emphasizes the integration of AI across key sectors such as public administration, education, smart cities, healthcare, connected industry, and the environment.
It highlights the need to attract, retain, and recover talent while adapting the educational system to digital and humanistic demands.
It calls for establishing an ethical framework and code of conduct to prevent algorithmic bias and discrimination.

Principles it states

Avoid negative bias, gender stereotypes, and discrimination in AI systemsEnsure trustworthy, reliable, responsible, and transparent AI applicationsAlign AI development with fundamental rights and European values

Outline

· Prólogo de Pedro Duque
· Agradecimiento del Secretario General de Coordinación de Política Científica
· Resumen Ejecutivo
· Preámbulo. Sobre la Inteligencia Artificial y su eclosión en esta década
· Proceso de elaboración de la Estrategia Española de I+D+I en Inteligencia Artificial
· Inteligencia Artificial: Análisis del Sistema de I+D+I Español
· Mecanismos de articulación e Instrumentos para la financiación
· Prioridades de la Estrategia Española de I+D+I en Inteligencia Artificial
· Recomendaciones
· Acrónimos

Issued2019

Length21,077 words · 48 pages

FormatNot recorded

Scopenational

How it scores

Pending review

Each score is backed by a quote verified against the document text. Editorial review has not yet confirmed them.

Accountability

3/5

Clear responsibility for AI outcomes

Analizar la ética de la IA desde la perspectiva de la I+D+I

Índice de Contenidos

screening score · 2026-10-24

Fairness

3/5

Non-discrimination and equitable treatment

Es una condición en el desarrollo de las tecnologías y aplicaciones de la IA ligada a esta Estrategia evitar el sesgo negativo y los prejuicios de los que adolece nuestra sociedad, como el de género , raza u otras formas de discriminación

Resumen Ejecutivo

screening score · 2026-10-24

Human Oversight

2/5

Humans remain in control of consequential decisions

Cuanto más deleguemos en las máquinas, más responsabilidad y formación debemos exigir a sus diseñadores

Prioridad 4. Desarrollar un sistema que fomente la formación transversal y profesional en Inteligencia Artificial

screening score · 2026-10-24

Privacy

3/5

Protection of personal data and private life

Gestionar las políticas de privacidad y seguridad

Prioridad 5. Desarrollar un ecosistema digital de datos y valorizar las infraestructuras

screening score · 2026-10-24

Enforcement

1/5

Consequences and compliance mechanisms with real force

El conjunto de indicadores que permitirán medir el grado de ejecución de estas actividades e iniciativas ligadas a la IA

Prioridades de la Estrategia Española de I+D+I en Inteligencia Artificial

screening score · 2026-10-24

Impact Assessment

3/5

Required assessment of an AI system's risks/impacts before or during use

Prioridad 1. Hacia una estructura organizativa que permita desarrollar un sistema de I+D+I en IA y valorar su impacto

Índice de Contenidos

screening score · 2026-10-24

Topics

artificial_intelligence research_and_development innovation ethics digital_strategy