"The AI-Powered UAE theme focuses on leveraging artificial intelligence and digital transformation to address national challenges, improve government efficiency, and enhance sustainability. By integrating cutting-edge AI solutions such as predictive analytics, machine learning for process automation, and natural language processing for citizen engagement, this theme transforms government services and operations. Through AI-driven innovations, government entities can streamline workflows, optimize resource allocation, and deliver smarter, more responsive services.

How might we use AI to create a clear, data-driven understanding and definition of neurodiversity?

Neurodiversity encompasses a broad spectrum of cognitive and neurological differences, yet inconsistent definitions and a lack of standardized data make it difficult to develop inclusive policies and support systems. AI can analyze vast datasets, identify patterns, and provide evidence-based insights that refine how neurodiversity is understood, ensuring that definitions are accurate, inclusive, and adaptable across different sectors such as education, healthcare, and employment. As expectations for more inclusive and personalized approaches grow, AI presents an opportunity to enhance data-driven insights, refine definitions, and provide tailored support. By leveraging AI, it is possible to develop more structured, accessible, and responsive solutions that better address the diverse needs of neurodiverse individuals while fostering greater understanding and inclusivity.

neuropower.world

How might AI support early identification and reduce stigma in neurodivergent diagnosis?

Many neurodivergent individuals experience delayed diagnosis due to stigma, limited awareness, and bias in traditional assessment methods. AI-powered tools can enhance early detection by analyzing behavioral and cognitive markers, providing personalized insights, and reducing assessment bias. By making diagnostic processes more accessible, efficient, and stigma-free, AI can help individuals receive timely support, improving their overall well-being and participation in society.

neuropower.world

How might we leverage AI to enhance the scalability and global competitiveness of national tech products and services, ensuring their successful entry into international markets?

The UAE is committed to building a diverse knowledge-based economy by fostering the development and global expansion of national tech products and services. To remain competitive, these innovations must scale effectively and navigate international market challenges, including regulatory barriers, competition, and market adaptability. Artificial Intelligence presents a key opportunity to enhance scalability, optimize market entry strategies, and strengthen global competitiveness. By leveraging AI-driven insights, automation, and predictive analytics, national tech businesses can improve their international positioning and accelerate growth.

TDRA

How can AI be leveraged to continuously upskill talent, bridge the skills gap in high-tech industries, and ensure a future-ready workforce aligned with global and governmental strategies?

The rapid evolution of emerging technologies has made specialized skills more valuable and essential for global competitiveness. As industries increasingly rely on advanced technologies, the demand for highly skilled talent continues to rise. However, the fast-paced nature of technological advancements creates a widening skills gap, making it difficult for organizations to keep their workforce aligned with industry needs. To maintain global and governmental competitiveness, there is an urgent need to leverage AI in workforce development—creating intelligent, adaptive learning systems that continuously upskill talent and predict future skill demands.

TDRA

How can we leverage modern technologies such as Artificial Intelligence (AI) to enhance the accessibility of digital government services for people of determination and senior citizens, ensuring an inclusive, efficient, and seamless user experience?

As the UAE advances towards a fully integrated digital government, ensuring accessibility for all citizens remains a priority. To support this vision, the Telecommunications and Digital Government Regulatory Authority (TDRA) has introduced the Digital Accessibility Policy, enabling seamless access to digital products, services, and information, particularly for People of Determination and senior citizens. This initiative reinforces the UAE’s commitment to inclusivity, ensuring that everyone can navigate and benefit from digital government services with ease. While significant progress has been made, opportunities exist to further enhance accessibility. Some users may find digital platforms challenging to navigate, highlighting the potential for expanded support for assistive technologies and more personalized digital experiences to better meet diverse needs and promote inclusivity.

TDRA

How might we utilize AI and advanced analytics to perform real-time sentiment analysis of social media discussions about the Ma'ashi platform, enabling the development of an intelligent dashboard that tracks emotions, detects trends, and identifies key areas of public interest?

The Ma'ashi digital pension platform is a significant step in the UAE’s digital transformation, offering Emirati employees, pensioners, and beneficiaries seamless access to pension-related services, including financial planning, end-of-service requests, and employment record updates. Given its role in managing sensitive pension data, gaining insights into public sentiment is essential for enhancing user experience and addressing concerns effectively. However, manually analyzing social media discussions is time-consuming and lacks real-time visibility into user satisfaction and emerging trends. By leveraging AI and advanced analytics, real-time sentiment analysis can offer valuable insights into public perception, engagement, and key areas of interest. Developing an intelligent dashboard to monitor emotions, detect trends, and highlight key topics will enable stakeholders to make data-driven improvements, strengthen user trust, and enhance service delivery proactively. https://gpssa.gov.ae/pages/ar/open-data

General Pension & Social Security Authority

How might we use advanced AI technologies, such as LLMs and AI-powered virtual agents, to improve real-time fire safety instructions and emergency guidance for Arabic-speaking citizens and residents in a more interactive and user-friendly way?

Civil Defense Authority continuously seeking innovative ways to enhance community awareness and emergency preparedness. Currently effective fire safety communication is critical for ensuring public safety, yet current awareness methods lack real-time responsiveness and personalization. The reliance on brochures, TV advertisements, and social media limits the ability to provide immediate, situation-specific guidance during emergencies. As a result, individuals may not receive timely, clear, or actionable instructions when they need them most. AI-powered technologies, such as LLMs and virtual agents, present an opportunity to bridge this gap. By integrating real-time, interactive, and Arabic-language emergency guidance, AI can help individuals navigate crises with accurate, accessible, and context-aware safety instructions.

Abu Dhabi Civil Defence Authority

How might we ensure that AI-assisted work maintains high-quality standards while aligning with the traditional Statistics Quality Assurance Framework (SQAF)?

"The Federal Competitiveness and Statistics Centre (FCSC) is advancing its efforts to modernize statistical operations by leveraging artificial intelligence (AI) to enhance efficiency, minimize human intervention, and strengthen data-driven decision-making. As part of this digital transformation, AI—particularly Large Language Models (LLMs)—offers significant potential in generating, analyzing, and validating official statistics. However, existing quality assurance frameworks, such as the Statistics Quality Assurance Framework (SQAF) and the Generic Statistical Business Process Model (GSBPM), were originally designed for manual processes, leading to delays in statistical reporting. These traditional methods, while essential for ensuring accuracy and reliability, may slow the adoption of AI-driven automation and limit the anticipated efficiency gains. AI-powered quality assurance mechanisms present an opportunity to accelerate statistical production by streamlining processes such as data validation and survey preparation. Yet, a key challenge remains: maintaining confidence and trust in AI-generated statistical outputs. The absence of a standardized framework for AI quality assurance raises concerns about credibility, which could undermine the benefits of automation." "Participants can leverage the following datasets to develop AI-driven quality assurance solutions: Bayanat.ae & Local Open Data Platforms: National accounts (GDP, inflation, trade statistics) Labor market data (employment/unemployment rates, job vacancies) Census and demographic data Business and enterprise statistics Price indices and cost of living data"

Federal Competitiveness and Statistics Centre

How might we develop real-time, data-driven insights into job market sentiment and economic productivity, ensuring a more holistic and human-centric approach to economic measurement?

"Traditional economic indicators like GDP provide valuable insights into financial productivity but fail to capture broader societal well-being, job market sentiment, and quality of life. Studies show that some countries with lower GDP rankings score higher in Happiness Reports, highlighting the need for a more holistic economic measurement approach. To address this, UNSD in collaboration with National Statistical Offices (NSOs), including the Federal Competitiveness and Statistics Centre (FCSC), is leading the ""Beyond GDP: Economic and Happiness"" initiative. This effort seeks to integrate well-being indicators such as mental health, job satisfaction, and social cohesion into official statistics, ensuring a more human-centric and policy-relevant framework. However, traditional statistical methods rely on structured surveys and periodic reporting, making them time-consuming and retrospective. Real-time insights into job market sentiment and economic productivity require innovative approaches that bridge this data gap. Thus, emerging technologies, including AI-driven sentiment analysis and alternative economic metrics, offer new opportunities to enhance statistical accuracy and responsiveness." "Participants can utilize the following datasets to develop innovative solutions: Bayanat.ae & Local Open Data Platforms: Labor market statistics (employment rates, job vacancies, wages) Happiness & Well-being Index data Economic performance indicators (GDP, inflation, productivity metrics) Demographic insights (expat/local workforce distribution, skill levels) Economic Surveys – FCSC Website"

Federal Competitiveness and Statistics Centre

How might we harness AI to enhance the accessibility and inclusivity of Ajman’s e-government services, ensuring an equitable digital experience for People of Determination?

"The Department of Digital Ajman is a governmental authority responsible for managing IT infrastructure, digital transformation, and monitoring services across all government entities. Our role is to ensure seamless digital services, cybersecurity, and technological advancement to support the Ajman’s vision for a smart government. Ajman is committed to ensuring that digital government services are accessible and inclusive for all citizens, including people of determination and those with limited digital literacy. The goal is to enhance e-government platforms with to make services more user-friendly and equitable. By prioritizing accessibility, Ajman aims to create a seamless digital experience that empowers every individual to engage with government services effortlessly, regardless of their abilities or background. This challenge supports Ajman’s vision of a smart, inclusive, and citizen-centric digital government." "The Official Ajman Open Data Portal data.ajman.ae"

Department of Digital Ajman

How might we harness advanced technologies like AI and blockchain to enhance financial sustainability, efficiency, and resilience within the Government of Fujairah’s Finance Department?

"The Government of Fujairah’s Finance Department is at the forefront of ensuring fiscal stability, operational efficiency, and transparent financial governance. As financial ecosystems evolve, integrating AI, blockchain, and automation presents a strategic opportunity to enhance resilience and long-term sustainability. AI-driven predictive analytics, fraud detection, and automated budgeting can improve revenue forecasting, optimize expenditure, and strengthen financial security. Blockchain ensures tamper-proof records, real-time compliance, and process automation through smart contracts, reducing inefficiencies and enhancing transparency. Automation further streamlines real-time financial reporting and risk management, enabling data-driven, proactive decision-making. By embracing these technologies, the Finance Department can optimize fiscal oversight, drive efficiency, and build a future-ready financial ecosystem. "

Government of Fujairah - Finance Department

How can artificial intelligence and data Intelligence be leveraged to design tourism events that meet visitor needs and enhance local community engagement in the tourism experience?

"With the growing number of tourists and their increasing interest in more authentic and interactive experiences, it has become essential to develop events that meet their expectations while enhancing local community participation. Designing events based on tourist demand and community needs contributes to sustainable tourism development, supports the local economy, and preserves cultural identity. Many tourism events follow traditional plans without involving visitors or the local community in the design process. Limited data on tourist preferences and the offerings of the local community. The need to develop more personalized and engaging events that appeal to diverse visitor segments. Limited economic and community impact of some tourism events." "البيانات المفتوحة عن بيانات الزوار والقطاعي السياحي في موقع دائرة التنمية السياحية. https://ajmantourism.ae/opendata/data-sets •البيانات المتوفرة على منصة بيانات.إمارات. https://bayanat.ae/ar-ae •خارطة عجمان السياحية باستخدام البيانات. https://data.ajman.ae/pages/tourism/ •منصة بيانات عجمان. https://data.ajman.ae/ "

Ajman Tourism Development Department

How might we apply artificial intelligence to enhance the sustainability of smart cities by optimizing resource management, reducing negative environmental impact, and improving urban resilience in densely populated areas?

"Densely populated urban areas face growing sustainability challenges due to rapid population growth, rising resource demand, excessive waste, and worsening environmental conditions. These pressures strain infrastructure, increase living costs, and intensify climate change impacts, making it crucial to balance economic growth, social equity, and environmental protection. A key obstacle is the lack of accurate, integrated data, which limits cities’ ability to address environmental and social issues effectively. Inefficient resource management, compounded by weak coordination between public and private sectors, leads to excessive energy consumption, water waste, and persistent traffic congestion. Additionally, the absence of seamless integration between AI, IoT, and big data weakens data-driven decision-making and urban efficiency. Urban planning often prioritizes economic growth over sustainability, resulting in imbalanced development. AI offers transformative potential by enabling predictive analytics, intelligent automation, and real-time optimization of urban systems. By leveraging AI to improve governance, enhance resource efficiency, and mitigate environmental risks, cities can move toward a more resilient, inclusive, and sustainable future."

Smart Umm Al Quwain

How might we enhance access to legal materials, research references, and Judicial Training Institute publications by developing a digital legal library powered by artificial intelligence to improve organization, searchability, and usability?

"The Judicial Training Institute at the Ministry of Justice is responsible for qualifying and training legal professionals and judicial authority trainees. The institute has a rich repository of legal materials, training videos, and a collection of legal research and publications. However, not all of these resources are automated, downloadable, or available on a single platform." "يمكن الرجوع الى موقع وزارة العدل للحصول على البيانات المطلوبة www.moj.gov.ae يمكن الرجوع إلى البيانات المتوفرة على منصة بيانات.إمارات"

Ministry of Justice (MoJ)