Dubai Launches World’s First Human–Machine Content Classification System

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The Human–Machine Collaboration (HMC) classification system, developed by the Dubai Future Foundation, is designed to heighten transparency successful probe and contented production.

His Highness Sheikh Hamdan bin Mohammed bin Rashid Al Maktoum, Crown Prince of Dubai, Deputy Prime Minister, and Minister of Defence, and Chairman of the Board of Trustees of Dubai Future Foundation, approved the motorboat of a planetary classification strategy that defines the relation of humans and machines successful the research, production, and work of creative, scientific, academic, and intelligence content.

“Distinguishing betwixt quality creativity and artificial quality has go a existent situation successful airy of today’s accelerated technological advances. This calls for a caller attack to recognise the increasing relation of intelligent machines. That’s wherefore we launched the world’s archetypal Human–Machine Collaboration Icons: a classification strategy that brings transparency to however research, publications, and contented are created.”

His Highness Sheikh Hamdan bin Mohammed bin Rashid Al Maktoum, Crown Prince of Dubai, Deputy Prime Minister, and Minister of Defence, and Chairman of the Board of Trustees, Dubai Future Foundation.

“We invitation researchers, writers, publishers, designers, and contented creators astir the satellite to follow this caller planetary classification strategy and usage it responsibly and successful ways that payment people.”

His Highness Sheikh Hamdan bin Mohammed bin Rashid Al Maktoum, Crown Prince of Dubai, Deputy Prime Minister, and Minister of Defence, and Chairman of the Board of Trustees, Dubai Future Foundation.

His Highness besides directed each Dubai Government entities to statesman adopting the strategy successful their probe and knowledge-based efforts.

Promoting Transparency successful Content Creation

The Human–Machine Collaboration (HMC) classification system, developed by the Dubai Future Foundation, is designed to heighten transparency successful probe and contented production. It offers a ocular practice that enables readers, researchers, and decision-makers to recognize however overmuch of a fixed output was shaped by intelligent machines, crossed fields specified arsenic research, design, and publishing. Such fields are progressively becoming reliant connected machines and automation technologies.

The classification defines “intelligent machines” arsenic a wide class encompassing assorted integer technologies, including algorithms, automation tools, generative AI models, and robotics oregon immoderate technological strategy that plays a relation successful the probe oregon contented instauration process.

Five Primary Classifications

The HMC strategy introduces 5 superior icons that bespeak the grade of collaboration betwixt humans and intelligent machines:

  • All Human: Content is afloat produced by a quality with nary instrumentality involvement.
  • Human led: Human-produced contented enhanced oregon checked by instrumentality for accuracy, correction, oregon improvement.
  • Machine assisted: Humans and machines worked unneurotic iteratively to nutrient the content.
  • Machine led: Machine took the pb successful producing the content, with humans verifying prime and accuracy.
  • All Machine: Content was wholly generated by instrumentality with nary quality input.

Nine Sub-classifications by Function

In summation to the 5 superior icons, the strategy besides includes 9 functional icons that bespeak wherever successful the process human–machine collaboration occurred. These screen ideation, lit review, information collection, information analysis, information interpretation, writing, translation, visuals, and design.

The icon strategy is designed to beryllium flexible and adaptable crossed sectors, industries, and contented formats, including representation and video outputs. While it does not delegate percentages oregon nonstop weights to the publication of machine, it enables creators to disclose engagement transparently, acknowledging that valuation often relies connected idiosyncratic judgement.

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