Artificial Intelligence: Governance and Compliance in the Energy Sector

Salas-Riega J.; Riega-Viru Y.; Alvarado-Huanatico N.; Ninaquispe-Soto M.; Tipismana-Neyra M.; Nilupu-Moreno K. · Proceedings of the 2025 IEEE 5th International Conference on Advanced Learning Technologies on Education and Research, ICALTER 2025 (2025) · DOI: 10.1109/icalter69698.2025.11355075

Resumen

This article analyzes governance and compliance challenges of deploying AI in the energy sector, with emphasis on developing countries. Through a qualitative, comparative review, we contrast the EU's binding, risk-based model (AI Act, GDPR, DORA) with Japan's flexible, soft-law approach (AI Guidelines, Society 5.0), and assess Latin American frameworks (Peru, Brazil, Colombia). We identify legal-technical risks cybersecurity, privacy, algorithmic discrimination, and liability; and regulatory gaps in AI for critical infrastructures. We propose a progressive, adaptable digital-compliance system aligned with ISO/IEC 38507, 22989, and 23894 to integrate governance, interoperability, and risk management, strengthening transparency, accountability, and trust in the digital energy transition.

Instituciones: Universidad Nacional Tecnológica de Lima Sur; Universidad Privada del Norte