Hamdan bin Mohammed approves launch of pioneering human-machine collaboration classification system
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 documents, publications, and content are created.
'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 added.
His Highness Sheikh Hamdan directed all Dubai Government entities to start adopting the system in their research and knowledge-based endeavours.
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 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.
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: www.dubaifuture.ae/hmc
Hashtags
Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
Khaleej Times
7 minutes ago
- Khaleej Times
As AI regulation tightens, legal foresight will define success
The clock is ticking for organisations that build, deploy, or rely on AI systems. With phase two of the European Union's AI Act fast approaching, the world's first binding AI regulation is ushering in a new era of enforceable AI governance. The act introduces strict requirements to ensure transparency, safety, and human oversight, grouping AI systems into four risk tiers that define how they are governed. Phase one, which came into force on February 2, 2025, banned AI systems deemed to pose unacceptable risk and required organisations operating in the EU to improve AI literacy among employees. The next phase places new obligations on general-purpose AI, including models such as ChatGPT, Claude, DALL·E, Midjourney, Anthropic, Meta, and Google BERT. These requirements mandate greater transparency, the creation of detailed technical documentation, and the disclosure of copyrighted materials used during training. European companies have already called for a pause on these measures, which the EU has rejected. From my perspective, this signals two realities. The first is that the era of enforceable AI regulation has arrived and will only continue to evolve. And the second, is that while responsible AI frameworks have been discussed for years, many businesses are still working out how to get prepared. Legal foresight as a strategic advantage Treating AI compliance as a reactive exercise has never been sustainable. But today, with the pace at which the regulatory landscape relating to AI and responsible and ethical AI, is evolving, legal foresight is more essential than ever. It must be embedded into how AI systems are built, deployed, and scaled from the outset. This is especially critical for general-purpose models, which are complex, fast-evolving, and capable of broad downstream impact. Integrating compliance into the development process, rather than retrofitting it later, helps reduce operational risk while strengthening trust with customers, partners, and regulators. This proactive approach is already being embraced in forward-looking jurisdictions such as the UAE, where regulation is positioned as a catalyst for innovation. In recent years, the UAE has formalised its AI governance through initiatives like the Artificial Intelligence and Advanced Technology Council (AIATC) and the UAE AI Charter, both of which emphasise ethics, transparency, and public interest. These efforts underscore the importance of co-design between government and industry to ensure that emerging technologies are not only cutting-edge, but also responsibly deployed. The co-regulation imperative No single organisation can navigate this evolving regulatory landscape alone. Engaging with industry peers, policymakers, and technology providers is essential. Co-regulation, where governments, private companies, and civil society collaborate to shape rules and guardrails which promote progress, is emerging as the most effective approach. The UAE's partnership with the World Economic Forum through the Global Regulatory Innovation Platform (GRIP) is a prime example. GRIP provides shared frameworks, benchmarking tools, and collaborative mechanisms that transform regulation from a constraint into an enabling model, aligning speed, inclusivity, and ethical standards. This collaborative mindset also shapes how Core42 designs its infrastructure. We embed regulatory and sovereignty requirements directly into our platforms to ensure compliance is not an afterthought. Our Sovereign Public Cloud, built on Microsoft Azure and supported by our sovereign controls platform Insight, addresses the complex challenges of data sovereignty and compliance for governments and regulated industries while still enabling public cloud innovation. With built-in sovereign control sets, comprehensive audit capabilities, and streamlined compliance management, organisations can manage sensitive data with confidence while benefiting from hyperscale agility and security. For customers requiring fully isolated environments for classified workloads, our Signature Private Cloud extends the same principles by combining the scalability of cloud with the control and assurance of on-premises systems. Preparing for the next frontier As governments worldwide move toward more comprehensive oversight through the regulation of AI, the organisations that thrive will be those that invest in proactive legal strategies today and seek to ensure their perspectives are tabled during the co regulation phase. In the Middle East, we are already seeing this next frontier take shape. The launch of the Responsible AI Foundation by G42 and Microsoft, in collaboration with MBZUAI, is establishing region-specific standards for fairness, transparency, and accountability. Additionally, G42's 2024 report on Sovereign AI Ecosystems highlights the growing importance of robust data governance frameworks as demand for data, storage, and computational power accelerates with AI advancements. As such, future regulations are likely to set clear parameters for data sovereignty, cross-border flows, and the accountability of AI systems operating on national infrastructure, addressing both technical integrity and the socio-cultural considerations unique to the region. In addition, continuous risk assessments, real-time auditing, and sector-specific governance will soon become standard practice. To prepare, legal teams must build cross-functional expertise, be creative and immersed in the dynamism of the environment in which the world is operating and work closely with engineers, product owners and data scientists to anticipate the regulatory landscape that will apply to what they are building rather than react to it. For companies developing or deploying AI, success will not hinge solely on technological breakthroughs but on the ability to navigate an increasingly complex legal environment. Those who approach this with foresight and integrity will be best positioned to earn public trust and capture long-term value.
Khaleej Times
37 minutes ago
- Khaleej Times
Food delivery goes mobile: 30% growth in UAE and Saudi Arabia in 2025
There's a quiet revolution happening across kitchens in the UAE and Saudi Arabia — and it's not just in restaurants, but on the phones of millions of hungry consumers. Whether it's a sizzling kebab for brunch or a late-night butter chicken craving, more people are choosing to tap and order than ever before. Gone are the days of calling in orders or waiting in queues. Today's diners prefer the ease of a few clicks, and restaurants are racing to keep up. In the first half of 2025, mobile food delivery orders in both countries surged by a staggering 30% year-over-year, according to fresh data from Syrve MENA, a leading restaurant software provider. The findings reflect a broader shift in how the region eats: convenience-first, mobile-centric, and increasingly digital. Food Aggregators Rule the Menu The report reveals that food aggregators — apps like Talabat, Deliveroo, and HungerStation — now dominate the mobile ordering landscape, handling around 75% of all restaurant mobile orders. The remaining 25% is fulfilled via call centres, websites, or proprietary restaurant apps, largely favoured by larger chains that want tighter control over the customer journey. And it's all happening on our smartphones. Over 70% of food delivery transactions are now completed on mobile devices, confirming that food is no longer just about taste — it's about tech, too. When and What We Eat is Changing Too Syrve's data also reveals intriguing patterns in consumer behaviour throughout the year. March 2025 saw a notable spike in orders, coinciding with Ramadan — a season known for post-sunset feasting. Another wave is expected during the summer months, from June through September, when sweltering temperatures push diners indoors. The dinner rush between 8:00 PM and 11:00 PM remains the busiest time slot across most cuisines, especially for fast food, Indian, Italian, and international fare. But Arabic restaurants buck the trend with traditional breakfasts such as foul, falafel, and labneh sandwiches peaking in popularity between 10:00 AM and noon. Globally, dinner hours around 6:00 PM tend to be peak time, but the Middle East's evening skew could also be linked to Ramadan and social dining habits, where the day winds down late and meals stretch into the night. Interestingly, a rise in Monday morning breakfast orders points to consumers looking for a fresh, convenient start to their week. Comparing the Markets While both countries are embracing the mobile food movement, their growth trajectories differ slightly. In the UAE, online meal delivery is projected to grow at a compound annual growth rate (CAGR) of 10.2% through 2033, powered by a tech-savvy population and demand for loyalty perks and faster delivery. Saudi Arabia's delivery sector, meanwhile, is even more robust, expected to climb at a CAGR of 15.4% through 2030. Its growth is underpinned by rapid urbanisation, high smartphone penetration, and a rising middle class hungry for convenience. "Mobile-based delivery will remain central to foodservice strategy in both the UAE and Saudi Arabia as they continue to develop digitally and increase mobile order volumes by over 10% year-on-year," says Alexander Ponomarev, CEO at Syrve MENA. "Consistent seasonal peaks, changing spending habits, and rapidly advancing technology are making mobile-first dining the new norm." Looking ahead, Syrve projects that by the end of 2025, over 80% of food delivery orders in both markets will be made via mobile — a natural evolution in two of the world's most digitally connected regions. The continued dominance of food aggregator apps, along with restaurants embracing automation and AI, is paving the way for a frictionless future in foodservice.
Zawya
2 hours ago
- Zawya
Tenable One surpasses 300 integrations
Tenable One now connects more of the security stack than any other exposure management platform, empowering customers with unmatched context into their cyber exposure Dubai, UAE – Tenable®, the exposure management company, today announced a major new milestone as the Tenable One Exposure Management Platform now features over 300 validated integrations, making it the most open and interconnected exposure management platform on the market. This solidifies Tenable's position as the central hub for security data, analytics, and unified risk reduction, limiting the industry silos caused by fragmented visibility that have long plagued security teams. In an era where the average enterprise uses 83 different cybersecurity tools1, organizations face a chaotic and siloed view of their attack surface. This fragmentation creates dangerous blind spots that attackers exploit, while security teams waste critical time manually reconciling disparate data instead of stopping threats. Tenable One uniquely solves this challenge by serving as the essential connective tissue for the security stack. While exposure management is still a newer area of focus for most organizations, it has become clear that a robust but open platform with bi-directional partnership among vendors is essential to a preventative approach to cyber risk reduction. 'A closed-off platform isn't just an inconvenience - it's a security risk, and Tenable is leading the charge to tear down these walls,' said Eric Doerr, chief product officer at Tenable. 'Reaching over 300 integrations is a fundamental shift in cyber control. We're giving our customers the power to see everything, connect everything, and manage their exposure from a single, unified platform without having to replace the tools they already trust. This is the future of cybersecurity, and Tenable is delivering it today.' The Tenable One platform unifies data from across the technology ecosystem—including endpoint detection and response (EDR), cloud native application protection platforms (CNAPP), asset inventory, privileged access management (PAM) tools and more—to provide a single, contextualized view of risk. By ingesting and correlating third-party data, Tenable One enriches it with threat intelligence and business context that identifies blind spots, allowing teams to visualize attack paths and perform contextual analysis to cut through the noise and focus on the exposures that matter most. By seamlessly integrating with IT service management systems, communication platforms, security information and event management (SIEM) tools, and patch management tools, Tenable One doesn't just provide insight—it drives action. The platform automates remediation workflows and streamlines cross-team collaboration, dramatically reducing the time it takes to investigate and close exposures. Two-thirds of Tenable One customers — including many of the most security-mature organizations — already leverage Tenable integrations. This open ecosystem delivers measurable impact, with some Tenable customers reporting up to 10x greater visibility and 75% less time spent aggregating data, freeing teams to focus on preemptive, risk-based operations. To further accelerate integration development and expand ecosystem reach, Tenable is introducing a universal integrations connector for the Tenable One platform this fall. This flexible, self-service framework enables customers and partners to easily build and maintain their own integrations – securely connecting custom applications and security tools to Tenable One without waiting on vendor roadmaps. It reinforces Tenable's commitment to openness while empowering organizations to tailor the platform to their unique environments. What Partners Are Saying 'Effective security requires collaboration, and our partnership with Tenable exemplifies this approach in action. By integrating Tenable One's rich exposure data directly into Splunk Cloud Platform, Splunk Enterprise Security, and SOAR, we are providing our joint customers with unparalleled context to detect and respond to threats faster than ever before. The breadth of Tenable's ecosystem is a massive force multiplier for security operations teams.' – Gretchen O'Hara, Vice President, Worldwide Channels & Alliances, Splunk 'The traditional boundaries between security and operational teams have blurred, and meaningful risk reduction demands coordinated action across the business. The deep integration between Tenable One and the ServiceNow AI Platform helps close the gap between vulnerability identification and enterprise-scale remediation. Together, we're enabling customers to accelerate response and embed risk reduction into the fabric of how work gets done, ensuring critical exposures are addressed before they can be exploited.' – Lou Fiorello, GVP and GM of Security and Risk Products, ServiceNow 'Compromising privileged access remains the primary goal of cyberattackers, and understanding exposure is critical. The integration between the CyberArk Identity Security Platform and Tenable One gives our joint customers a powerful advantage. With a unified approach that combines deep vulnerability insights with intelligent privilege controls, organizations can pinpoint risks to their most sensitive accounts and act swiftly to secure them, preventing privilege escalation and stopping breaches.' – Joanne Wu, Vice President, Business Development, CyberArk About Tenable Tenable® is the exposure management company, exposing and closing the cybersecurity gaps that erode business value, reputation and trust. The company's AI-powered exposure management platform radically unifies security visibility, insight and action across the attack surface, equipping modern organizations to protect against attacks from IT infrastructure to cloud environments to critical infrastructure and everywhere in between. By protecting enterprises from security exposure, Tenable reduces business risk for approximately 44,000 customers around the globe.
