MENA Newswire: Dubai, UAE, 24 January 2026: The Zayed International Prize for the Environment today unveiled a new bilingual (Arabic and English) reference guide, “Artificial Intelligence for a Green Planet: Harnessing Technology for Environmental Sustainability,” during the opening of the Dubai International Conference & Exhibition on Green AI (DICEGAI 2026) at the Dubai Police Academy. Developed to support decision-making and implementation, the publication translates Green AI from a broad concept into a usable framework for organisations seeking measurable environmental impact.
Zayed Prize chair Dr. Bin Fahad (right) launches Green AI guide by author Dr. Dafaalla.
DICEGAI 2026 brings together policymakers, researchers, engineers, and sustainability leaders focused on execution at scale. As national targets become more demanding and environmental risks more immediate, the Zayed Prize is using the conference to emphasise a clear principle. Innovation only matters when it can be governed, deployed, and measured. The guide is intended to strengthen institutional readiness by helping stakeholders align AI strategy with sustainability outcomes, operational constraints, and responsible oversight.
The Zayed Prize published the guide in Arabic and English as a deliberate capacity-building decision. Environmental technology discussions often move faster than the availability of accessible, standardised resources, creating a gap between global research language and local implementation. By issuing a bilingual edition, the Zayed Prize aims to widen access for Arabic-speaking practitioners, regulators, universities, and corporate sustainability teams, while also ensuring international audiences can engage with the same methodology and terminology without dilution of meaning.
Responsible AI as an implementation discipline
Professor Dr. Mohamed A. Bin Fahad, Chairperson of the Zayed International Prize for the Environment, said: “Publishing this work in Arabic and English is about building shared capability. Environmental progress depends on a common understanding across sectors, disciplines, and generations. This reference guide is not a celebration of AI. It is a practical tool for directing AI responsibly toward sustainability results that can be verified, scaled, and governed. DICEGAI is the right platform to place actionable knowledge into the hands of those who will implement it.”
Authored by Dr. Anour Dafaalla, a specialist in artificial intelligence and cybersecurity, the publication focuses on how AI can serve environmental objectives while addressing an increasingly material question for sustainability leaders. How do we realise AI-driven benefits without creating avoidable environmental cost from the technology itself. The guide connects AI fundamentals to governance choices, data discipline, accountability, and performance measurement, treating Green AI as an implementation mindset rather than a slogan.
Practical tools for long term sustainability value
The guide sets out practical pathways for applying AI across sustainability-relevant domains, including environmental monitoring, efficiency optimisation, and data-informed decision-making that can support resilience and resource stewardship. Its emphasis is outcomes-driven, aligning models and datasets with policy intent, defining what success looks like, and ensuring results can be monitored, audited, and improved over time. It is designed for institutions that need to make technology decisions under real-world constraints, including budgets, regulatory expectations, capacity gaps, and operational risk.
During DICEGAI 2026, the Zayed Prize is highlighting the publication throughout the conference programme and distributing printed copies to delegates, reinforcing the event’s emphasis on usable knowledge and cross-sector collaboration. The Zayed Prize views the guide as a contribution to the region’s environmental innovation ecosystem, supporting sustainability strategies, training initiatives, and partnerships that accelerate measurable progress, strengthen responsible technology governance, and advance long-term environmental value.
