--- title: "IA en la industria: Innovación y sostenibilidad con inteligencia artificial | BBA" date: 2025-02-20T00:00:00-05:00 author: Juliette Cote canonical_url: "https://www.bbaconsultants.com/es-cl/publications/ia-industria-sostenible-summit-chile" section: Publications --- The Artificial Intelligence Action Summit concluded on February 11 in Paris with a declaration for “open,” “inclusive” and “ethical” AI, signed by 59 countries, including Canada. The event brought together heads of state, international experts and business leaders and served as a platform for global dialogue and collaboration on AI governance. However, it was revealed significant divisions, with some fearing that excessive regulations could hold back this rapidly growing technology. 1. ### AI is set to be a key lever for the industrial sector by : - Rapidly analyzing massive data sets to speed up decision-making. - Automating processes to improve operational efficiency and resilience. - Detecting equipment failures or breakdowns early to reduce production downtimes, maintenance costs and risks to employees. - Optimizing energy consumption and integrating renewable energy sources to reduce carbon footprints **“However, AI democratization raises several ethical and regulatory concerns, especially in industrial and critical infrastructure sectors,”** explains Souheil Sabbagh, Vice-President, Digital Expertise at BBA. **“To use AI ethically, it must align with recent advances, particularly with ESG,”** adds Jean-Francois Beaulieu, Director, Digital Consulting, at BBA. Both experts emphasize that several safeguards are essential for integrating AI into industrial projects: - Accountability: AI must be used in ways that uphold corporate accountability. - Health, safety and environment: AI integration must respect environmental and health and safety standards. - Governance and transparency: AI must adhere to corporate values and government legislation. - Impact on communities: AI must benefit local communities, particularly in terms of economic and social outcomes. - Accessibility: AI systems must be audited to address biases and ensure fair access. **“Further reflection is needed before AI is fully integrated into operational technologies, particularly regarding data privacy, cybersecurity, workforce skill development and, of course, ethics. To date, human oversight in critical decision-making remains the most reliable way to ensure these issues are managed properly,”** concludes Souheil Sabbagh. What ethical challenges concern you when integrating AI into industrial operations? 2. This content is for general information purposes only. All rights reserved ©BBA 1. ![Ec employee men souheil sabbagh retouch web SQ LR BBA](https://www.assets.bbaconsultants.com/bba-production-assets/production/images/avatars/_size_avatar/204274/ec_employee_men_souheil-sabbagh_retouch_web_SQ_LR_BBA.webp) Souheil Sabbagh, Ing., MBA Vicepresidente, Experiencia Digital Leer bio [ ](https://www.linkedin.com/in/souheil-sabbagh-a5895421/) **Con más de 15 años de experiencia, Souheil ayuda a los clientes a digitalizar y garantizar la ciberseguridad de las infraestructuras industriales**, centrándose en las operaciones mineras y geológicas. **Áreas de especialización** - Digitalización de infraestructuras industriales - Ciberseguridad industrial y cumplimiento normativo - Optimización de activos para sitios mineros y metalúrgicos - Estrategias digitales para entornos complejos - Miembro de la OIQ, ONU **Principales logros**: Dirigir proyectos de digitalización y ciberseguridad para sitios industriales, integrando soluciones de alta confiabilidad, seguras y conformes con la normativa. Implantación de prácticas sólidas para proteger sistemas críticos en operaciones de extracción y procesamiento. **Enfoque y valor añadido**: Souheil combina la experiencia técnica con una gobernanza que alinea a las personas, los procesos y las tecnologías con los objetivos comerciales. 2. ![3318 Jean Francois Beaulieu](https://www.assets.bbaconsultants.com/bba-production-assets/production/images/avatars/_size_avatar/191591/3318_Jean_Francois_Beaulieu.webp) Jean-François Beaulieu Director, Digital Consultant [ ](https://www.linkedin.com/in/beaulieujeanfrancois/) - [ 17 ago 2026 Structural engineering early phase: unlocking value through early decisions - ![Nicolas Samson](https://www.assets.bbaconsultants.com/bba-production-assets/production/images/avatars/_size_avatar/197852/Nicolas-Samson.webp) Nicolas Samson, P.Eng. Senior Engineer, Structural ](https://www.bbaconsultants.com/es-cl/perspectivas/structural-engineering-early-phase-unlocking-value-through-early-decisions "Structural engineering early phase: unlocking value through early decisions") - [ 12 ago 2026 Four mistakes that can harm the future performance of industrial assets - ![Caroline provost](https://www.assets.bbaconsultants.com/bba-production-assets/production/images/avatars/_size_avatar/208557/Caroline-provost.webp) Caroline Provost P.Eng. Director, Operational Strategy Implementation ](https://www.bbaconsultants.com/es-cl/perspectivas/four-mistakes-that-can-harm-the-future-performance-of-industrial-assets "Four mistakes that can harm the future performance of industrial assets") - [ 27 jul 2026 Minería y metalurgia Por qué las decisiones tempranas sobre relaves definen el desempeño de la mina a largo plazo - ![Geraldine Cosset](https://www.assets.bbaconsultants.com/bba-production-assets/production/images/avatars/_size_avatar/206707/Geraldine-Cosset.webp) - ![Jared Purdy](https://www.assets.bbaconsultants.com/bba-production-assets/production/images/avatars/_size_avatar/212424/Jared-Purdy.webp) ](https://www.bbaconsultants.com/es-cl/perspectivas/las-decisiones-sobre-relaves-definen-desempeno-mina-a-largo-plazo "Por qué las decisiones tempranas sobre relaves definen el desempeño de la mina a largo plazo") - [ 02 jul 2026 Minería y metalurgia Python: Una herramienta clave para el análisis de datos en el procesamiento de minerales - ![Charles Blais](https://www.assets.bbaconsultants.com/bba-production-assets/production/images/avatars/_size_avatar/211197/Charles-Blais.webp) - ![Juan Pablo Vergara](https://www.assets.bbaconsultants.com/bba-production-assets/production/images/avatars/_size_avatar/211266/Juan-Pablo-Vergara.webp) ](https://www.bbaconsultants.com/es-cl/perspectivas/python-una-herramienta-clave-para-analisis-datos-en-procesamiento-minerales "Python: Una herramienta clave para el análisis de datos en el procesamiento de minerales") [ Ver todo ](https://www.bbaconsultants.com/es-cl/perspectivas "Ir a la página del listado de Publications") Veamos lo que podemos hacer juntos [ Póngase en contacto con nosotros ](https://www.bbaconsultants.com/es-cl/p%C3%B3ngase-en-contacto-con-nosotros) The Artificial Intelligence Action Summit concluded on February 11 in Paris with a declaration for “open,” “inclusive” and “ethical” AI, signed by 59 countries, including Canada. The event brought together heads of state, international experts and business leaders and served as a platform for global dialogue and collaboration on AI governance. However, it was revealed significant divisions, with some fearing that excessive regulations could hold back this rapidly growing technology. 1. ### AI is set to be a key lever for the industrial sector by : - Rapidly analyzing massive data sets to speed up decision-making. - Automating processes to improve operational efficiency and resilience. - Detecting equipment failures or breakdowns early to reduce production downtimes, maintenance costs and risks to employees. - Optimizing energy consumption and integrating renewable energy sources to reduce carbon footprints **“However, AI democratization raises several ethical and regulatory concerns, especially in industrial and critical infrastructure sectors,”** explains Souheil Sabbagh, Vice-President, Digital Expertise at BBA. **“To use AI ethically, it must align with recent advances, particularly with ESG,”** adds Jean-Francois Beaulieu, Director, Digital Consulting, at BBA. Both experts emphasize that several safeguards are essential for integrating AI into industrial projects: - Accountability: AI must be used in ways that uphold corporate accountability. - Health, safety and environment: AI integration must respect environmental and health and safety standards. - Governance and transparency: AI must adhere to corporate values and government legislation. - Impact on communities: AI must benefit local communities, particularly in terms of economic and social outcomes. - Accessibility: AI systems must be audited to address biases and ensure fair access. **“Further reflection is needed before AI is fully integrated into operational technologies, particularly regarding data privacy, cybersecurity, workforce skill development and, of course, ethics. To date, human oversight in critical decision-making remains the most reliable way to ensure these issues are managed properly,”** concludes Souheil Sabbagh. What ethical challenges concern you when integrating AI into industrial operations? 2. This content is for general information purposes only. All rights reserved ©BBA