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Schools to courts: Dubai expects new AI icons to be used across sectors
Schools to courts: Dubai expects new AI icons to be used across sectors

Khaleej Times

time7 days ago

  • Business
  • Khaleej Times

Schools to courts: Dubai expects new AI icons to be used across sectors

Dubai anticipates that its Human-Machine Collaboration (HMC) icons and standards will be adopted across a wide range of sectors — from high schools and universities for assignment submissions to investment consultants advising on market strategies. 'Research and management consultants can use them to build client trust, while legal firms may use them to highlight when human expertise plays a critical role in court recommendations,' said Dr Heba Chehade, Head of Foresight Research at the Dubai Future Foundation (DFF), in an interview with Khaleej Times. The DFF developed the system. 'We also see adoption by … creative professionals in media, art and advertising (who may) leverage the system to show the balance between human creativity and machine assistance,' she added. 'This system enables organisations to demonstrate value and authenticity to their audiences.' Stay up to date with the latest news. Follow KT on WhatsApp Channels. Announced by Sheikh Hamdan bin Mohammed bin Rashid Al Maktoum, Crown Prince of Dubai, the global classification system introduces five primary classifications indicating levels of human-machine collaboration, along with nine icons that illustrate the point in the process where the interaction occurred. 'Machines' in this context include digital technologies such as algorithms, automation tools, generative AI models, and robotics. When asked whether usage of the icons will be monitored, Dr Heba clarified that the HMC system is not intended to be a regulatory or policing tool. 'Unlike online detection tools or generative watermarking — which still face technical limitations and are focused purely on outputs — the HMC system is designed to encourage transparency from the start of the process. It is about enabling content creators to disclose where and how AI was involved, acknowledging that even researchers themselves often rely on personal judgement when working iteratively with machines. Rather than enforcing compliance or penalties, the goal is to promote accountability and integrity in a way that is practical and user-driven.' Government projects Sheikh Hamdan has directed Dubai Government entities to adopt the system in their research and knowledge-based projects. 'His Highness has directed all Dubai Government entities to integrate the HMC system into their research and knowledge-based efforts,' Dr Heba explained. 'In practice, this can apply anywhere content is created and shared — whether in policy, strategy or public communications. As a guiding principle, any output that informs decision-making and impacts society, whether in the short or long term, should include these icons. For example, a policy report outlining future urban development strategies would benefit from displaying these icons to demonstrate transparency around human and AI contributions.' Currently, use of the HMC icons is voluntary and open to anyone — in Dubai or globally. 'At the DFF, we implemented the icons immediately upon their announcement. Since then, our research partners, including research institutions and government bodies, have shown significant interest and commitment to adopting them. Like the global community, which has long awaited such standards, we are eager to see which organisations in Dubai and beyond will lead the way.' Reflecting on how the system came to be, Dr Heba said the foresight research team began with a central question: What if we created a framework that empowers researchers to self-declare, driving greater accountability and encouraging innovation beyond machines' capabilities? 'From ideation and drafting use cases to design iterations and legal protections, the process was deeply collaborative. Our designers transformed early concepts into the icon set we see today, which now stands as a pioneering framework for transparent human-machine collaboration.'

New Dubai classification to remove ‘AI stigma' in content, experts say
New Dubai classification to remove ‘AI stigma' in content, experts say

Khaleej Times

time21-07-2025

  • Business
  • Khaleej Times

New Dubai classification to remove ‘AI stigma' in content, experts say

Would you want to know if the content you're consuming was created using AI? A new initiative in Dubai is making that level of transparency possible. Industry professionals say it could help shift how people perceive artificial intelligence in creative work. As AI tools become increasingly embedded in industries from marketing to media, Dubai has introduced a Human–Machine Collaboration (HMC) classification system. Approved by Dubai Crown Prince Sheikh Hamdan, the new system uses visual icons to indicate the extent of human and AI involvement in producing content — be it for ideation, writing, design, or other stages. The aim is to enhance transparency across industries increasingly using automation and generative AI tools. Abeer Faisal, marketing specialist at Omorfia Group, said the classification could help reshape public perception of AI by encouraging honest disclosure. 'This kind of system helps take the stigma out of using AI,' she said. 'It gives marketers and creators a way to say, yes, AI was part of the process, but in a way that made the content better, not less authentic.' The system features five main icons — from 'All Human' to 'All Machine' — and nine functional tags that clarify which part of the process involved AI collaboration. Though it doesn't assign percentages to each input, the system offers creators a structured way reflect how intelligent machines were used in the process. Abeer believes it could also raise the bar on quality. 'It might feel like an extra step at first, but it's a step in the right direction. It encourages more conscious creation and that only improves the work,' she said, adding that in trust-driven sectors like PR, such labels could offer an added layer of credibility. She added that the labels could influence how audiences engage with content. 'Personally, if I started seeing those badges on posts, I'd probably pause and look closer. If it were something emotional or storytelling-heavy and labeled 'machine-led,' I might feel a bit disconnected. "But if it was something futuristic or data-driven, I'd respect the honesty. To me, the label doesn't define the content; the intention behind it does. And that's the shift we're heading into: people won't just care what you create, they'll care how you created it," she said. Senior communications specialist Rawan Khalifa echoed the sentiment, calling the initiative 'a commitment to transparency". She said the system acknowledges the growing role of AI in creative work, while also reinforcing the importance of how content is made. 'I've seen increasing concern about the decline of critical thinking skills as AI tools grow,' she said. 'To me, that's not a call to reject technology, it's a call to build AI literacy. We now have to upskill and use AI with intention, not default to it out of convenience.' She pointed out that the push for efficiency has sometimes led to suggestions of fully automating communications tasks, something she sees as risky. 'I've heard suggestions to fully automate some communications tasks under the guise of 'efficiency,' but even the best-written prompt can't replicate human judgment,' she said. 'Real communication isn't just producing content, it's about conveying meaning, and it requires judgment, nuance, and context.' Interestingly, Rawan shared that she used AI to refine her own quote — not to replace her voice, but to sharpen it. 'For communicators like myself, this doesn't just offer transparency, it protects the integrity of our work,' she said. However, not everyone expects widespread adoption right away. Nadine Al Suwaidi, a UAE-based digital strategist, said while the system is a positive step in principle, it may face hesitation in fast-paced commercial settings. 'The line between 'machine-assisted' and 'machine-led' can be blurry, and there's a lot of subjectivity,' she said. 'Unless there's clear incentive or pressure from clients or regulators, I don't think brands will rush to label their content this way.' She added that while the system may work well for government or academic institutions where documentation is critical, commercial teams are often more focused on timelines, performance, and simplicity. While the system is currently optional, Sheikh Hamdan has directed Dubai Government entities to begin adopting it in their research and knowledge-based work.

Dubai launches world's first icon classification for Human–machine collaboration in research and publications
Dubai launches world's first icon classification for Human–machine collaboration in research and publications

Zawya

time18-07-2025

  • Business
  • Zawya

Dubai launches world's first icon classification for Human–machine collaboration in research and publications

Dubai-United Arab Emirates: Dubai has launched the world's first icon-based classification system to represent the level of human–machine collaboration in the process of producing research, publications, and public-facing content. Developed by the Dubai Future Foundation (DFF), the Human–Machine Collaboration (HMC) Icons offer a new global standard for transparency, clearly indicating the extent to which humans and AI worked together throughout the creation process. The classification is free to use, copyrighted for consistency, and openly available for researchers, publishers, and content creators worldwide. His Highness Sheikh Hamdan bin Mohammed bin Rashid Al Maktoum, Crown Prince of Dubai, Deputy Prime Minister, Minister of Defence, and Chairman of the Board of Trustees of DFF, said: 'Distinguishing between human and AI-generated content has become a major challenge. That is why we have launched a new framework to define the level of collaboration between humans and machines across all forms of content. 'We invite researchers, writers, publishers, designers, and content creators around the world to adopt this new global classification system,' His Highness added. Unlike existing tools that focus on outputs or authorship, the HMC Icons focus on the process behind the work, from ideation and data analysis to writing, translation, and design. The system applies to academic papers, reports, visual content, and educational materials. The classification system features f ive core icons representing the degree of human–machine collaboration (from All Human to All Machine), as well as nine functional icons indicating which specific parts of the process a machine has contributed to. They are: ideation, literature review, data collection, data analysis, data interpretation, writing, translation, visuals, and design. By using these icons, institutions and individuals can demonstrate responsible AI use, reinforce human leadership in research production, and foster greater trust in an era increasingly shaped by machine learning tools. The system was developed in response to a question raised in the 2024 edition of Dubai Future Foundation's Global 50 report: 'What if we had a Turing Declaration for human intelligence?' The HMC Icons present Dubai's answer: a practical framework that sets a new benchmark for research integrity and content transparency.

Dubai Debuts Icons to Show If Content Is Made by AI or Human
Dubai Debuts Icons to Show If Content Is Made by AI or Human

UAE Moments

time17-07-2025

  • UAE Moments

Dubai Debuts Icons to Show If Content Is Made by AI or Human

In a world where AI is writing poems, articles, and even code, Dubai just dropped a new system to help you spot whether a piece of content was made by a human, AI, or a mix of both. It's called the Human–Machine Collaboration (HMC) classification system—and yes, it's official. Why This Matters Let's face it, it's getting harder to tell if a story, report, or photo was done by a person or whipped up by a machine. This system makes it super clear. Whether it's for research papers, artworks, articles, or even designs, you'll now see little icons that break it all down. The Icons to Look Out For There are five main icons: All Human Human-led Machine-assisted Machine-led All Machine So whether it's just a little AI help or a full-on robot takeover, the icon will show you what went down behind the scenes. They're also adding nine mini-icons to tell you which parts the machine helped with—like idea generation, writing, visuals, data crunching, and more. Where It's Rolling Out First All Dubai government departments are now using these icons in their content. But it's not just for Dubai—they want creators around the world to hop on board too. You can even grab the icons yourself from

Dubai launches world's first human-machine icon classification system
Dubai launches world's first human-machine icon classification system

Zawya

time17-07-2025

  • 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:

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