UAE: Dubai to write human and AI contributions to introduce universal icons and contribute to the formation of material. world News
- Dubai launched a global system to label Human vs. AI roles
Material Construction - HMC icons show how much human or machines contributed to writing, research, design, etc., how much contributed, etc.
- The five main icons indicate the level of human-masin cooperation, from all-human to all-machine.
- Nine functional icons highlight specific stages AI (eg, thoughts, writing, scenes).
- It promotes transparency and encourages the moral, responsible use of AI Worldwide
A global before Dubai
In a groundbreaking step, the way the world evaluates creative and scientific production, its His Majesty Sheikh Hamdan bin Mohammed bin Rashid Al Maktum, Dubai’s Crown Prince, Deputy Prime Minister, Minister, and Chairman of Trustees Board of Dubai Future Foundation, has announced the first time, INT-It Global Classification. Initiative is called Human -Mashin Cooperation (HMC) iconThe research, educational, scientific and intellectual content is a clear difference between human and machine contribution in research, production and publication. As stated by Emirates News Agency (WAM), Sheikh Hamdan emphasized the urgency of this step in light of the faster developing role of artificial intelligence (AI): “The difference between human creativity and artificial intelligence has become a real challenge in the light of today’s rapid technological progress. It asks for a new approach to recognize the growing role of intelligent machines. This is why we launched the world’s first human -mesin cooperation icon, a classification system that brings transparency to research documents, publications and materials., This new system is not only theoretical, it is being implemented immediately in the Dubai government. Sheikh Hamdan has instructed all Dubai government institutions to adopt classifications in their research and knowledge-based projects.
HMC System: Breaking Human and Machine Rolls
The HMC classification system developed by Dubai Future Foundation provides a practical and visually accessible way to readers, researchers and decision makers to understand the limit of AI’s participation in material manufacturing. The classification introduces the five core icon that indicates the level of cooperation between humans and intelligent machines:
- All human materials have no help from machines made by a human being completely.
- Human LED-human-manufactured materials that have been reviewed or improved by machines (eg, grammar improvement, fact-oriented).
- Machine Assisted – A balanced cooperation where humans and machines worked from repetition to develop materials.
- Machine LED – Machines led to the formation of material, with human inspection for quality and accuracy.
- All machines – materials generated by a machine completely, without any human input.
This approach is designed to inject clarity into a domain where the use of AI is often unknown. In today’s digital landscape, where equipment such as generative AI, automation systems and intelligent algorithms rapidly shape the material, it is difficult for consumers or colleagues to understand how much work was made by human or machine. Word “Intelligent machines” This context includes a wide range of technologies: from AI and automation tools to robotics and algorithms, or any digital system that plays a role in the presentation of research, design, writing, analysis or information.
Going beyond the label: functional icon for the whole process
The HMC system goes beyond the top level label by introducing nine functional icons, which shows that, in the material manufacturing process, the human-moneyin cooperation occurred. These icons are particularly relevant to general research workflows and publication works, helping to identify how machines were involved.As a foundation, the classification system reflects major stages that usually involve machine assistance in research and material production. This includes:
- Idea
To generate and develop ideas, to think, prepare problems, and design research approach to create new insight or solutions. - Literature review
Searching for academic and non-educational sources to gather background knowledge that helps to frame research questions and objectives. - data collection
Using various methods to collect information through primary (survey, experiment) or secondary (existing dataset, archives) research. - Data analysis
Applying qualitative and quantitative techniques to process and analyze the data collected for meaningful patterns and results. - data interpretation
Severely reflected on data analyzed to highlight important findings, subjects and conclusions. - Write
Expressing ideas, presenting research findings, and providing analysis through written language. - Translation
Converting the text from one language to another, preserving the original meaning and intentions. - Visuals
Creating pictures, charts, graphs, speed graphics, or other visual elements that help clearly communicate information. - design
Research output organizing and formatting – such as reports, presentations, videos, or podcast – to increase clarity and engagement.
For example, a research paper can be marked as a “machine assisted”, which helps in data analysis and scenes with functional icons, but the ideation and writing were completely human-elevated. This enables a more fine and transparent evaluation, not only valuable insight What But How Construction of material. Importantly, the system does not try to assign numerical percentage or weight for the contribution of the machine, accepting that these decisions can often be subjective. Instead, it gives the creators the right to be honest and transparent about the participation of machines, which provides the audience with the necessary information to evaluate authenticity and integrity.
A call for global adoption
The announcement of Sheikh Hamdan is more than a local policy, it is a global invitation. He said, “We invite researchers, writers, publishers, designers and material creators around the world to adopt this new global classification system and use it responsibly and in ways that benefit people,” he said.This exceeds the response to rapid technological changes, it is a clear indication that Dubai wants to shape how the world works with AI, not just its friendly. As intelligent machines join more deeply how we make and communicate, the line between human input and machine output keeps blurring. The HMC icons are to bring that line back into the focus, not to keep the innovation back, but to ensure that people know what they are looking, and can trust what they are reading or watching.By launching this system, Dubai is playing a leadership role in shaping the use of moral AI and establishing new standards for material transparency. The classification model is designed to customize in many fields, such as academics, design, video production and software development, where AI is rapidly integrated into everyday workflows. At its core, the system promotes honest disclosure of machine participation, encouraging the creators and institutions to maintain integrity to clearly show how the material is produced.By normalizing transparency, it can also come back to how AI’s involvement is considered, less as a hidden shortcut and a declared, creative and more as part of the research process.
