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3 days ago
- Business
- Emirates 24/7
Towards an Inclusive Social Strategy: 70 representatives from 27 entities co-design Dubai's Social Sector Strategy 2025–2033
In a strategic step reflecting Dubai's commitment to collaborative governance, the Community Development Authority (CDA) hosted a wide-scale co-design workshop that brought together around 70 representatives from 27 local and federal government entities to contribute to shaping the future vision of Dubai's Social Sector Strategy 2025–2033. The session featured interactive dialogues and technical discussions, during which participants shared valuable insights and field-based expertise, enriching the strategy's outputs and ensuring their alignment with the real needs of the community. This workshop marks the first phase of a three-stage strategy development process taking place throughout July and August. The initiative aligns with the objectives of Dubai Social Agenda 33, Dubai Plan 2033, and the 'We the UAE 2031' vision, reinforcing Dubai's mission to place human wellbeing at the heart of every development effort. Human-Centric Strategic Outcomes The upcoming strategy is built around tangible outcomes focused on the individual, the family, and the wider community: • Personal Wellbeing: Enhancing the psychological and social health of individuals • Family Cohesion: Strengthening the nurturing and supportive role of families • Community Belonging: Empowering every individual to participate and contribute meaningfully to society The strategy also places strong emphasis on leveraging technology, digital transformation, and artificial intelligence to reimagine the delivery of social services—enabling faster, more precise responses to societal needs and enhancing the overall user experience. A Renewed Vision for a Resilient and Cohesive Society Building on past achievements, the strategy aims to expand its reach and impact through: • Strengthening societal resilience, empowering families to adapt to emerging challenges • Transitioning from traditional care models to social investment that values community contribution and ensures sustainability • Reinforcing national identity and belonging, particularly amid digital and social transformations • Addressing cost-of-living pressures for low- and middle-income families Collective Commitment to a Sustainable Social Future Speaking at the workshop, Her Excellency Hessa bint Essa Buhumaid, Director General of the Community Development Authority, highlighted the importance of inclusive participation in building Dubai's social future: 'Shaping the future of the social sector is not achieved through decisions alone—it requires dialogue, participation, integration, and the courage to ask difficult questions. This strategy is more than just a working document; it is a sincere call to renew our commitment to people and society, and to pursue development pathways that are more inclusive, equitable, and sustainable.' Her Excellency added that adopting a co-design approach reflects the Authority's belief that lasting solutions come from within—from ordinary citizens, practitioners, and experts alike. She praised the active role of participating entities in proposing innovative ideas that meet the aspirations of today's community and tomorrow's generations. A Co-Created Strategic Roadmap The development process consists of three main phases: 1. Situational analysis and future foresight 2. Designing key pillars, initiatives, and performance indicators 3. Building an integrated implementation plan and roadmap Each phase will include direct engagement with stakeholders through technical workshops, interviews, and field visits to ensure the development of a practical and actionable strategy with measurable impact on individuals, families, and communities. The CDA affirmed that the strategy represents a long-term commitment to human wellbeing and reinforces Dubai's global position as a model for building cohesive, inclusive, and future-ready societies.
Asharq Al-Awsat
23-07-2025
- Science
- Asharq Al-Awsat
SDAIA Launches 'National AI Index' to Measure Saudi Govt Readiness for Adopting AI
The Saudi Data and Artificial Intelligence Authority (SDAIA) launched the "National AI Index," with over 180 representatives from participating government entities attending the first assessment cycle. The goal of the index is to evaluate institutional readiness for adopting artificial-intelligence (AI) technologies, regularly monitor progress, and provide recommendations to support development efforts and achieve the desired national impact, reported the Saudi Press Agency on Wednesday. The index aims to align government efforts and national priorities in the field of AI, while providing the necessary enablers to support government entities in adopting and developing effective and sustainable AI solutions that contribute to achieving the goals of Saudi Vision 2030. The index is built on three main pillars, seven core dimensions, and 23 subcategories to ensure a comprehensive assessment of government entities' readiness in the AI field. It provides results that reflect the maturity level of AI adoption across entities, along with the necessary support to enhance their capabilities in developing innovative solutions that sustain national efforts and maximize their impact in priority sectors. The index is part of SDAIA's broader efforts as the national reference for data and AI in the Kingdom, overseeing their regulation, development, and application. It aims to promote the adoption of AI technologies and improve institutional performance, thereby advancing digital transformation across government entities. The initiative aligns with SDAIA's strategic partnerships to support the goals of Saudi Vision 2030 to build a knowledge- and innovation-based economy.
Gulf Business
21-07-2025
- Business
- Gulf Business
Saudi Arabia's digital government achievements highlighted through national performance indicators
Saudi Arabia has demonstrated significant progress in digital governance through four national indicators launched by the The Digital Transformation Index, introduced in 2021, measures government entities' adherence to foundational digital standards. Since its launch, the index has shown a steady upward trajectory, increasing from 69.39 per cent in 2021 to 87.14 per cent in 2024, indicating a substantial cultural shift in how government organisations operate. The Digital Experience Index, launched in 2022, assesses the maturity of government digital platforms and services. Its completion rate rose from 77.26 per cent at inception to 85.04 per cent in 2024, reinforcing Saudi Arabia's position as a provider of user-focused digital services. The Emerging Technologies Index, rolled out in 2023, tracks readiness for adopting cutting-edge technologies. The indicator rose from 60.35 per cent in 2023 to 70.70 per cent in 2024, reflecting a growing commitment among agencies to move beyond basic digitisation and embrace more advanced innovations. Introduced in 2024, the Digital Content Index evaluates the quality and reach of digital content on government websites. It recorded a 71.40 per cent completion rate, underlining the importance of ensuring that digital presence encompasses not just service delivery, but meaningful and effective user engagement. These performance indicators provide a framework for measuring the impact of digital transformation across Saudi Arabia's government entities. They aim to encourage healthy competition, elevate service quality, and broaden digital initiatives. Ultimately, the Kingdom aspires to position itself among the top five global digital governments, with a continued focus on improving beneficiary satisfaction.
Zawya
17-07-2025
- Business
- Zawya
Dubai launches world's first human-machine icon classification system
Developed by Dubai Future Foundation, system introduces five primary classifications to indicate levels of human–machine collaboration, and nine functional icons that indicate where in the process human–machine collaboration occurred. His Highness directs Dubai Government entities to begin adopting the system in their research and knowledge-based work. Dubai: His Highness Sheikh Hamdan bin Mohammed bin Rashid Al Maktoum, Crown Prince of Dubai, Deputy Prime Minister, and Minister of Defence, and Chairman of the Board of Trustees of Dubai Future Foundation, today approved the launch of a global classification system that defines the role of humans and machines in the research, production, and publication of creative, scientific, academic, and intellectual content. His Highness said: 'Distinguishing between human creativity and artificial intelligence has become a real challenge in light of today's rapid technological advances. This calls for a new approach to recognise the growing role of intelligent machines. That's why we launched the world's first Human–Machine Collaboration Icons: a classification system that brings transparency to how research, publications, and content are created. His Highness added: 'We invite researchers, writers, publishers, designers, and content creators around the world to adopt this new global classification system and use it responsibly and in ways that benefit people.' His Highness also directed all Dubai Government entities to begin adopting the system in their research and knowledge-based efforts. Promoting Transparency in Content Creation The Human–Machine Collaboration (HMC) classification system, developed by the Dubai Future Foundation, is designed to enhance transparency in research and content production. It offers a visual representation that enables readers, researchers, and decision-makers to understand how much of a given output was shaped by intelligent machines, across fields such as research, design, and publishing. Such fields are increasingly becoming reliant on machines and automation technologies. The classification defines 'intelligent machines' as a broad category encompassing various digital technologies, including algorithms, automation tools, generative AI models, and robotics or any technological system that plays a role in the research or content creation process. Five Primary Classifications The HMC system introduces five primary icons that indicate the extent of collaboration between humans and intelligent machines: All Human: Content is fully produced by a human with no machine involvement. Human led: Human-produced content enhanced or checked by machine for accuracy, correction, or improvement. Machine assisted: Humans and machines worked together iteratively to produce the content. Machine led: Machine took the lead in producing the content, with humans verifying quality and accuracy. All Machine: Content was entirely generated by machine with no human input. Nine Sub-classifications by Function In addition to the five primary icons, the system also includes nine functional icons that indicate where in the process human–machine collaboration occurred. These cover ideation, literature review, data collection, data analysis, data interpretation, writing, translation, visuals, and design. The icon system is designed to be flexible and adaptable across sectors, industries, and content formats, including image and video outputs. While it does not assign percentages or exact weights to the contribution of machine, it enables creators to disclose involvement transparently, acknowledging that evaluation often relies on personal judgement. To explore how to use the HMC Icons and download the classification system, visit:
Arabian Business
16-07-2025
- Business
- Arabian Business
Dubai launches world's first human–machine collaboration classification for content transparency
Dubai has launched a series of icons to establish whether content is created by humans, AI or a combination of both. Sheikh Hamdan bin Mohammed bin Rashid Al Maktoum, Crown Prince of Dubai, Deputy Prime Minister and Minister of Defence of the UAE, and Chairman of the Board of Trustees of the Dubai Future Foundation, approved the launch of the world's first Human–Machine Collaboration (HMC) classification system. The HMC system introduces a global framework designed to differentiate between the roles of humans and intelligent machines in the creation of creative, scientific, academic, and intellectual content. Dubai launches AI content classification The system applies to areas such as research, publishing, writing, design, and more. Sheikh Hamdan said: 'Distinguishing between human creativity and artificial intelligence has become a real challenge in light of today's rapid technological advances. 'This calls for a new approach to recognise the growing role of intelligent machines. That's why we launched the world's first Human–Machine Collaboration Icons, a classification system that brings transparency to how research documents, publications, and content are created'. He invited global stakeholders—researchers, writers, publishers, designers, and content creators—to adopt the new classification system and use it responsibly. All Dubai Government entities have also been directed to begin using the framework in their research and knowledge-based outputs. Developed by the Dubai Future Foundation, the HMC system provides visual icons to represent the degree of collaboration between human and machine in content creation. It enhances transparency and helps readers, researchers, and decision-makers better understand the nature of authorship. Hamdan bin Mohammed approves the launch of a global classification system that enables in differentiating between the role of humans and machines in the research, production, and publication of creative, scientific, academic, and intellectual content. Developed by the Dubai… — Dubai Media Office (@DXBMediaOffice) July 16, 2025 There are five primary classifications: All human: Created entirely by a human with no machine involvement Human led: Human-produced content enhanced by machine (e.g., for accuracy or editing) Machine assisted: Collaborative process where human and machine worked together Machine led: Machine generated most of the content, with humans reviewing it All Machine: Fully machine-generated with no human input Furthermore, there are nine functional sub-classifications. Icons are also available to specify the stage of collaboration, including: Ideation Literature review Data collection Data Analysis Data Interpretation Writing Translation Visuals Design The icon-based system is flexible and can be applied across sectors and formats, including images and videos. While it does not assign specific percentages to the machine's role, it enables transparent disclosure of involvement—supporting greater clarity in an era of increasing reliance on AI, automation tools, and generative technologies. Dubai's initiative is a global first and aims to establish a standard for responsible disclosure and ethical use of intelligent machines in content creation and knowledge production.
