Dubai will launch a pioneering global classification system designed to clearly define the roles of human and intelligent machines in the creation, research and dissemination of scientific, academic and creative content.
The Human-Machine Collaboration (HMC) classification system, developed by the Dubai Future Foundation, aims to increase transparency into an increasingly automated content landscape.
The system introduces five key icons that visually represent the extent of machinery engagement in various fields, including research, design, publishing and other knowledge-based sectors.
Classification ranges from “All Human” to “human-driven” which shows content created entirely without machine aid. Humans are the main creators and are supported by machines for refinement or accuracy.
“Machine Support” refers to a balanced collaboration between humans and machines, and “Machine-driven” refers to content primarily produced by machines, and humans are involved in quality assurance. At the highest level of automatic levels, “all machines” means content that is completely generated by the machine without human input.
Additionally, nine function icons show specific stages of collaboration, ranging from idea and data analysis to translation, visual content and design.
The initiative, implemented by all Dubai government agencies, lies amid an increasing use of generator AI, automation tools and robotics in content creation.
Sheikh Hamdan bin Mohammed bin Rashid Al Maktum, Crown Prince Dubai, Deputy Prime Minister, Minister of Defense and Chairman of the Council of Dubai Future Foundation, said:
“This requires a new approach to recognize the growth of the role of intelligent machines. That’s why we launched the world’s first human-machine collaboration icon, a classification system that brings transparency to how research documents, publications and content are created.”
HMC systems employ a broad definition of intelligent machines and cover a wide range of digital technologies, including algorithms, generator AI models, robotics, and other automated tools used in content creation.
The system does not measure the exact extent of machine contribution, but it provides a flexible and adaptable framework to promote transparent disclosure. This classification is designed to apply to a variety of content types and sectors, including written, visual, and multimedia formats.
