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Medicina Clínica (English Edition) Social responsibility and commitment in the context of artificial intelligence i...
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Social responsibility and commitment in the context of artificial intelligence in healthcare

Responsabilidad y compromiso social ante la inteligencia artificial en salud
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Laureano Fernández-Cruz Péreza, Eduardo M. Targarona Solerb,
Corresponding author
emtargarona@gmail.com

Corresponding author.
, José Ibeas Lópezc
a Catedrático emérito, Universidad de Barcelona, Académico numerario RAMC
b Profesor emérito, Universidad Autónoma de Barcelona, Académico numerario RAMC
c Director del Programa para la Promoción y Desarrollo de la IA en el Sistema de Salud de Catalunya, Servicio de Nefrología, Parc Taulí Hospital Universitari, Institut d’Investigació i Innovació Parc Taulí (I3PT-CERCA), Universitat Autònoma de Barcelona, Sabadell, Barcelona, Spain
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Abstract

Artificial intelligence in healthcare represents a conceptual and cultural revolution. AI is transforming evidence-based medicine into data-driven medicine, enabling personalized and real-time clinical decisions. However, this progress requires prudence and ethical commitment, since healthcare is a complex domain due to the sensitivity of data and the need to safeguard patients’ privacy, autonomy, and dignity. In addition, technical, ethical, and organizational challenges arise when implementing AI in healthcare systems. Robust infrastructures, professional training, and collaborative governance are needed to ensure equity and sustainability. Responsibility in the use of AI in healthcare must be shared among professionals, academic institutions, industry, public administration and obviously, the patients. Medical leadership is essential to guide technological development, and ensure that innovation benefits patients and society. The future of AI in healthcare depends on the ethical and social commitment, turning technology into an opportunity to strengthen healthcare system.

Keywords:
Artificial intelligence
Ethics
Equity
Sustainability
Regulation
Resumen

La inteligencia artificial (IA) en salud representa una revolución conceptual y cultural. La IA transforma la medicina basada en la evidencia hacia una medicina basada en datos, permitiendo decisiones clínicas personalizadas y en tiempo real. Sin embargo, este avance exige prudencia y compromiso ético, ya que la salud es un terreno complejo por la sensibilidad de los datos y necesidad de garantizar la privacidad. Además, plantea retos técnicos, éticos y organizativos al implementarla en los sistemas sanitarios. Hacen falta infraestructuras robustas, formación profesional y gobernanza colaborativa que asegure equidad y sostenibilidad. La responsabilidad en el uso de la IA en salud debe ser compartida entre profesionales, instituciones académicas, industria, administración, y lógicamente, los mismos pacientes. El liderazgo médico es esencial para orientar su desarrollo y garantizar que beneficie realmente a pacientes y a la sociedad. El futuro de la IA en salud dependerá del compromiso ético y social, convirtiendo la tecnología en una oportunidad para fortalecer el sistema sanitario y la confianza ciudadana.

Palabras clave:
Inteligencia artificial
Ética
Equidad
Sostenibilidad
Regulación

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