The intersection between artificial intelligence (AI) and decarbonation is the subject of a passionate debate within the scientific community: on the one hand, a powerful lever to accelerate the energy transition; on the other, a voracious energy consumer that could compromise climate objectives. In the context of developing countries, where per capita emissions are low but vulnerability to high climate change, Quisqueya University's 2025 School of Atomne and Summer (EAE) symposium (1-3 December 2025) provides an ideal framework for exploring these tensions. Organized around synergies between AI and energy transition, this free event questions the sustainable trajectories adapted to local realities, such as those of Haiti.
Scientifically, decarbonation aims to achieve zero net GHG emissions by 2050, an imperative to limit warming to 1.5°C (Geoconfluences, 2024a). As a sub-discipline of computer science simulating human intelligence via machine learning, the AIA excels in the analysis of massive data to optimize energy processes (American Psychological Association, 2024). Studies show that digital technologies, including AI, could reduce global CO2 emissions by 20% by 2030, by identifying cost-effective pathways for industrial decarbonation (Digital Europe, cited in Equans Digital, 2025). For example, predictive algorithms model future emissions by integrating historical and real-time data, allowing accurate simulations for energy renovation of buildings, with potential savings of 20% in HVAC systems (Smart Building Alliance, 2025).
In developing countries, these applications are particularly relevant. The Agency can support sustainable reindustrialization by optimising agricultural supply chains or predicting energy needs in the face of climate hazards, thus promoting Agenda 2030 (Committee 21, 2018). In Arts and Trades, training courses already integrate the AI into the decarbonization of energy, via school factories simulating ADEME scenarios, to train engineers and decision makers (Le Bolzer, 2025). In Haiti, this could mean AI tools to monitor deforestation or optimize solar micro-networks, strengthening societal resilience.
Yet critical voices alert to the limits. A World editorial describes it as « technosolutionism » The idea that AI will offset its own energy impacts, stressing that data center consumption could triple by 2030, with AI accounting for 33-50 % of this load (Shift Project, cited in Le Monde, 2025). This « Incompatibility » posing an ethical dilemma: how to deploy AI in a sober way, with emphasis on the « smart data » to « big data » (Smart Building Alliance, 2025)
The EAE 2025 symposium, integrating social and ecological transformations, invites responsible governance, where AI serves climate justice rather than exacerbating.
In short, AI is neither panacea nor poison: its decarbonizing potential depends on an ethical and localized implementation.
Participate in this event (free registration: https://uniq.edu.ht/events/colloque-eae-2025-:-decarbonation-and-intelligence-artificial-874.html) will allow Haitian researchers and decision makers to co-build viable trajectories.
References
American Psychological Association. (2024, 19 August). Basics of artificial intelligence. https://www.apaservices.org/practice/business/technology/tech-101/basics-artifical-intelligence
Committee 21. (2018). Artificial Intelligence and Sustainable Development Goals: Committee 21 and Nam.R are mobilizing! https://committee21.org/committee21/committee21-en-action.html?id=12264
Equans Digital. (2025). How AI promotes decarbonation. https://www.equans.com/en/news/intelligence-artificial-favourite-decarbonation
Geoconfluence. (2024a, 21 November). Decarbonation. https://geoconfluences.ens-lyon.fr/glossary/decarbonation
Le Bolzer, J. (2025, 10 November). IA and decarbonization of energies, the training priorities of Arts and Trades. The Echoes. https://www.lesechos.fr/thema/articles/ia-and-decarbonation-des-énergies-les-priorites-de-formation-darts-et-metiers-2197686
The World. (2025, 2 October). Incompatibility of AI with decarbonation. https://www.lemonde.fr/idees/article/2025/10/02/l-incompatibility-de-l-ia- avec-la-decarbonation_6644065_3232.html
Smart Building Alliance. (2025). IA: A major tool for decarbonization of buildings. https://www.smartbuildingsalliance.org/lia-un-tool-major-for-carbonation-of-buildings
Quisqueya University. (2025). EAE 2025 Symposium: Decarbonation and Artificial Intelligence. https://uniq.edu.ht/events/colloque-eae-2025-:-decarbonation-and-intelligence-artificial-874.html
Quetya AUBIN
Haiti Pole – West Indies, Haiti Science and Society (HaSci-So)
Team of Scientific Partners for Research Communication (E-PSi-CoRe)
Quetyaaubin25@gmail.com
