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This CGI school girl has you fooled

As CGI, and the tools used to create it, get better it will be harder to distinguish what is real, and what is not. Slowly these "digital humans" will be able to replace real humans anywhere there is a screen involved, such as acting, avatars and VR

Cite or link to this article

Griffin, M. (2016) 'This CGI school girl has you fooled', 311 Institute, 19 September. Available at: https://www.311institute.com/this-cgi-school-girl-has-you-fooled/ (Accessed: 1 October 2026).

There's a problem with the image in the header of this article and no, it's not the image itself. It's your perception of this image. Because there's a high likelihood that you, along with thousands of other people think it's a photograph of a girl in the woods.

But, and here's the problem, it isn't. The woods are real, but the girl? Well, her name is Saya and she's just a work of fiction, albeit beautifully executed. She's CGI.

Now many people could just look at this photo and think, "Wow, that looks real, had me fooled," but it's easy to gloss over the significance of this work of "art". It represents a new breakthrough in a technology known as Ultra High Definition Rendering - where artists, or animators create an object that is so perfectly constructed, even down to its flaws, that it's indistinguishable from the real thing. And in a world where it is getting increasingly hard for us humans to tell the "computer version" from the "human version" of something, whether that's in speech, capability or "intelligence" this is another case of an emerging technology advancing to the point where, albeit with some effort still, our sense of sight can be fooled with increasing ease.

Saya in 2016

In this case Saya was created by Japanese artists Teruyuki Ishikawa and Yuka Ishikawa who started the Saya project back in 2015, and they have been working to constantly improve her, to make her more detailed and more life like ever since, as you can see from the above "photograph".

Ironically, there’s a problem with creating photo realistic objects and it’s called the uncanny valley - essentially, this is when an object looks nearly identical to its real life counter part but is just a little "off" but Telkuya, though, seems to have managed to get past uncanny valley with Saya and as a result it looks like we can now say that we are firmly on the road to the day when we won't be able to tell real objects from fictional ones. Then the possibilities for the technology unravel in front of your very eyes.

Combine these new photo realistic CGI creations with artificial intelligence and, all of a sudden, it becomes quite clear how one day, sooner rather than later, we'll be able to replace actors and create life like Avatars. That teacher you think you're talking to in Virtual Reality? A CGI Bot. That movie your watching? CGI actors and landscapes all being directed by an AI director. And so on and so on.

When we look at technologies in isolation it's easy to miss the art of the possible, something you'd be best to remember when you're reading the articles on the site. Have fun and this is the robo-author Matt over and out. For now...

311 Intelligence

What this means for your organisation

Sight is no longer proof.

Saya shows that a CGI image can pass for a photograph, even down to its flaws. Teams that treat a picture as evidence now carry risk. The gap between the real and the rendered keeps closing.

Digital humans are heading for screens.

Digital humans are expected to see wide use by 2035, avatars by 2034 and virtual reality by 2032. Anywhere a screen is involved, a real person could be replaced by a rendered one.

Set verification rules early.

Decide how your organisation checks that people, images and video are real. Review where acting, training or customer contact could use a digital person, and who should be told.

Three questions for your next leadership meeting

  1. Where do we rely on an image as proof that something is real?
  2. Which of our screen-based roles could a digital human fill?
  3. Who owns the rules for checking and disclosing synthetic people?

The trends and technologies behind this story

From the 311 Starburst, the 311 Strategic Intelligence Unit’s map of the technologies and trends shaping the next 50 years.

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Analysis by the 311 Strategic Intelligence Unit, from Matthew Griffin’s article and 311 data. First published on Fanatical Futurist.

FAQ

Why does this matter?

As CGI, and the tools used to create it, get better it will be harder to distinguish what is real, and what is not. Slowly these "digital humans" will be able to replace real humans anywhere there is a screen involved, such as acting, avatars and VR

Matthew Griffin

About the author

Matthew Griffin Founder, President and Futurist, 311 Institute

Matthew Griffin is a multi-award winning Futurist and expert in Disruption and Innovation, Geopolitics, Leadership, and Technology, who NASA have described as a "walking encyclopaedia of the future" and a "futurist Polymath."

Read full bio

Matthew Griffin is a multi-award winning Futurist and expert in Disruption and Innovation, Geopolitics, Leadership, and Technology, who NASA have described as a "walking encyclopaedia of the future" and a "futurist Polymath." 17-time best selling author of the "Codex of the Future" series, Matthew is the Founder, President and Futurist of the 311 Institute, a global Futures and Deep Futures advisory firm working with royal households, world leaders, G7, G20, and G77 governments, NGOs, and multi-national mid and mega cap firms to help them explore, shape, and lead the next 50 years of business and society.

An award-winning YouTube creator with over a million followers, with an unrivalled global reach and impact, Matthew is a highly sought-after international keynote speaker, lecturer, and mentor who collaborates with global leaders through the United Nations Alliance of Civilizations (UNAOC) and United Nations General Assembly (UNGA) to shape pivotal initiatives such as the UN’s AI for Humanity programme, the United Nations Conference of the Parties (UN COP), and the World Economic Forum in Davos.

As the former Global Head of Cloud, National Security, and Enterprise Sales for companies including Atos, Dell-EMC, and IBM, Matthew has a proven track record of building multi-billion dollar business units and turning failing divisions into market leaders. His ability to identify, analyse, and communicate the implications of hundreds of emerging technologies and trends is unparalleled, and his insights are trusted by many of the world’s most respected organisations, including ABB, Accenture, Adidas, AON, ARM, BCG, Centrica, Citi, Coca-Cola, Dentons, Deloitte, Dow Jones, EY, Google, KPMG, Lego, Legal & General, LinkedIn, Microsoft, PepsiCo, Qualcomm, RWE, Samsung, Siemens AG and Siemens Energy, T-Mobile, UBS, VISA, Walmart, Workday, Worldpay and many others.

Regularly featured in the global media including the AP, BBC, Bloomberg, CNBC, Discovery, Forbes, Khaleej Times, Telegraph, TIME, ViacomCBS, WIRED, and the WSJ, Matthews mission is to help organisations create a fair and sustainable future whose benefits are shared by everyone irrespective of their ability, background, or circumstances.

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Sources and further reading

  1. Robots human uncanny valley theguardian.com

Source: first published by the 311 Institute on 19 September 2016. Cite as: Griffin, M. (2016). This CGI school girl has you fooled. 311 Institute. https://www.311institute.com/this-cgi-school-girl-has-you-fooled/

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