
Dubai's classification system for AI-assisted content: Is it mandatory?
"They are meant to encourage honest self-assessment and transparency. Anyone involved in creating content, including researchers, writers, designers, or consultants, can choose to use them,' the Dubai Future Foundation said.
Ranging from 'all human' to 'all machine', the five-point global classification system informs end users about the role of machines in the research, production, and publication of creative, scientific, academic, and intellectual content. Machines include digital technologies such as algorithms, automation tools, generative AI, and robots.
The icons representing the classifications can be used on academic papers, technical and annual reports, videos, artwork, educational materials, and other multimedia content. 'They can also be used on social media, in videos, images, or any other content that involves, or could involve, AI or machine assistance,' the Dubai Future Foundation said.
The icons can be placed on the cover, in footnotes, or in the disclaimer section of the content.
Copyrighted by the Dubai Future Foundation, the icons are free to use and do not require permission.
Announcing the system, Sheikh Hamdan bin Mohammed bin Rashid Al Maktoum, Crown Prince of Dubai, Deputy Prime Minister, and Minister of Defence of the UAE, 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.'
Classifications explained
All Human: Content is fully produced by a human, with no machine involvement.
Human-led: Human-produced content is enhanced or checked by a machine for accuracy, correction, or improvement.
Machine-assisted: Humans and machines work together iteratively to produce content.
Machine-led: A machine takes the lead in producing the content, with humans verifying quality and accuracy.
All machine: Content is entirely generated by a machine, with no human input.

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