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In a move to set precedent amid the rise in AI use and automation in content production, Dubai has announced a global classification system aimed at distinguishing the role of humans and intelligent machines in the creation of research, academic, creative and scientific content.
The Human Machine Collaboration (HMC) Classification System developed by Dubai Future Foundation was approved by Deputy Prime Minister and Minister of Defense and Crown Prince Sheikh Hamdan Bin Mohammed Bin Rashid Al-Maktum, who is the chairman of the Foundation’s Trustees Committee.
“The distinction between human creativity and artificial intelligence has been a real challenge in light of today’s rapid technological advancements,” Sheikh Hamdan said. “That’s why we launched the world’s first human-machine collaboration icon, a classification system that brings transparency into how research documents, publications and content are created.”
He called on researchers, writers, designers and publishers to adopt a system worldwide “in a way that responsibly benefits people.”
Sheikh Hamdan also directed all Dubai government agencies to begin using the system in research and knowledge-based work.
Human Machine Collaboration Classification of AI Generated Content
This classification presents five key icons that reflect different levels of collaboration.
All human: No machine involvement.
Human LED: Human-created content enhanced or checked by a machine.
Machine Assist: Joint repetition between humans and machines.
Machine LED: Machine-generated content reviewed by humans.
All machines: fully machine-generated without human input.
It also includes nine function-based icons that show where machine interactions occurred, from ideas and data analysis to visuals and design.
Although it does not quantify the percentage of machine involvement, the system aims to promote disclosure and encourage content creators to self-identify the nature of the collaboration involved.
According to the Dubai Future Foundation, icons can be used in sectors and formats, including images and videos, and are intended to help viewers better understand the origins of content they consume.
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