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Research Points to New Hybrid Imagery for Multiple Media Vehicles – But What Are the Risks?

As decision makers read up on this hybrid imagery stemmed from video game engines, they should keep in mind risks like misinformation and propaganda.

December 19, 2018 Jessica Messier Leave a Comment

Digital Signage COVID-19

According to The Verge, chip-designer Nvidia released research demonstrating how AI-generated visuals can be combined with a traditional video game engine. The combination of graphics might one day be used in multiple forms of entertainment, including video games, movies and virtual reality.

In their research, Nvidia’s engineers explain how they created this hybrid of imagery, which involved building upon existing methods, such as an open source system called pix2pix. The work also involved a generative adversarial network, or GAN, which are “widely used in image generation.”

The Verge says Nvidia has also included numerous innovations to their work; “one of those products is “the first ever video game demo with AI-generated graphics.”

It’s more than just another video game:

The Verge says that this latest development will take users further than behind the controllers of a video game (although one of the popular game engines used to develop popular games like Fortnite was used in this hybrid imagery). In fact, the publication predicts that the technology will bleed into other fields: “The work does have potential applications in other areas of research, though, including robotics and self-driving cars, where it could be used to generate training environments. And it could show up in consumer products sooner albeit in a more limited capacity.”

But, be warned:

With Nvidia’s released research on this combination of graphics, decision makers might consider keeping in mind a big concern with the new technology – disinformation and propaganda. A popular example of this is with fake footage of politicians and celebrities saying or doing things that they normally wouldn’t.

The Verge says that Nvidia is working with other companies to research ways to detect AI fakes. However, whether or not these fakes can be/are detected, there’s a chance that decision makers, especially those who’ve experience too many instances of misinformation, might be scarred by trust issues with the technology, and might be hazy on whether or not to invest.

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Tagged With: Artificial Intelligence

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