Abu Dhabi Uses Agentic AI in Executive Council Meeting as AI Literacy Expands Across Private Schools

Abu Dhabi’s Executive Council has used an agentic artificial intelligence platform in a council meeting for the first time, bringing AI-assisted analysis, document review and meeting follow-up into a senior government decision-making process.

The system, called the AI Committee System, was used during a meeting chaired by H.H. Sheikh Khaled bin Mohamed bin Zayed Al Nahyan, Crown Prince of Abu Dhabi and Chairman of the Abu Dhabi Executive Council. It reviewed proposals and agenda materials ahead of the session, prepared executive summaries, and supplied real-time insights and questions to support discussion. The official announcement said outputs and decisions remain traceable to the original source papers.

The development is useful to understand as an example of decision support, rather than software independently making government decisions. The published description says the platform can help fact-check information, raise observations, generate analysis-based recommendations, prepare reports and meeting minutes, summarise required actions, and clarify responsibilities for relevant entities or committees. The official description presents the system as supporting the council’s analysis, discussion, documentation and follow-up rather than replacing the established decision-making process.

For professionals, the development also illustrates skills that matter when people work alongside AI tools. These include interpreting evidence, testing the quality of source material, identifying gaps in an automated summary, understanding data governance, documenting decisions, and applying human judgment to public-interest questions. In roles involving policy, operations, programme management, procurement, service design and data analysis, these skills can help people assess whether an AI-supported output is sufficiently reliable and appropriate for its intended use.

Traceability Matters in Government AI

The stated traceability feature is particularly significant. In a public-sector setting, AI-supported analysis should be possible to examine against the underlying record: users need to know which documents informed an output, whether the source material was current, and whether important context may have been omitted.

Traceability does not mean that a system is automatically accurate or free from bias. It provides a clearer route for officials to check an output against source material, challenge a conclusion and document how a decision was reached. Readers should avoid assuming that an agentic platform independently makes government decisions. Based on the official description, its role in this meeting was to support analysis, discussion, documentation and follow-up.

The council used the platform while considering several public programmes, including the next phase of the Abu Dhabi Liveability Strategy, the expansion of Al Ghad Nurseries and updates to AI education in private schools. The National also reported that the tool was deployed to analyse proposals, prepare summaries and provide real-time insights, with outputs linked to source documents.

AI Learning From KG to Grade 12

At the same meeting, the council reviewed progress on integrating AI education into Abu Dhabi private-school curricula from kindergarten through Grade 12. The wider ADEK AI Literacy initiative is being advanced across more than 170 private schools. It is designed as a staged learning pathway: early years focus on logical and critical thinking through age-appropriate, screen-free activities, while older students progress toward evaluating AI outputs, designing AI-enabled solutions and considering how such systems should be governed responsibly.

By Grade 12, the framework is designed to support students in progressing toward designing AI systems and scalable solutions. Its learning strands cover conceptual understanding, critical evaluation and informed interaction, solution design and development, and responsible governance, including data privacy and societal impact. This goes beyond teaching students to write prompts or use a chatbot.

ADEK has also introduced an AI Growth Test for Grades 4 to 12, to be conducted twice each year. Its in-school Technology and AI Policy includes safeguards covering data protection and student privacy, cognitive agency, academic integrity, human oversight of AI-generated decisions, content safety and cultural alignment with UAE values, and algorithmic fairness. The initiative also targets training and upskilling 19,000 educators by the completion of the programme.

For families, educators and employers, the practical point is that AI capability is increasingly being framed as a combination of technical familiarity, independent thinking, ethical awareness and verification habits. Using an AI system quickly is not the same as assessing whether its answer is accurate, appropriate or safe to apply.

Together, the two developments connect education with workplace readiness: students are being introduced to AI literacy across their school journey while government institutions test structured ways to use AI in high-level administrative work. Their longer-term usefulness will depend on transparent processes, appropriate governance and meaningful human oversight.

Key Takeaways

• Abu Dhabi’s Executive Council used the AI Committee System for the first time to support agenda analysis, real-time discussion, documentation and follow-up, while retaining links between outputs and original source papers.
• Based on the official description, the platform supports analysis and decision-making processes rather than independently replacing accountable human judgment and formal approval.
• ADEK’s AI Literacy initiative is advancing across more than 170 private schools, with learning designed to progress from screen-free foundations in early years to AI system and solution design by Grade 12.
• The two developments highlight the importance of evidence assessment, data governance, responsible AI use, documentation and the ability to test automated outputs.

Sources: WAM — Executive Council AI Committee System, WAM — ADEK AI Literacy initiative, The National.

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