I can take a safe bet that many of you reading this blog know a bit or more about Artificial Intelligence (AI). It’s not just a tech buzzword. We have a brush with AI in our day-to-day lives even though we may not realize its presence. AI is there in our smartphones and in our cars. It has crept into our social networks, our workspace and our living rooms too. But many of us haven’t opened up to the disruption AI is brewing. What if I claim AI can do more than mimic human intelligence? And, create some great content? Don’t you find it believable? Just check into thispersondoesnotexist.com and generated.photo. Here, you will find umpteen images of people who never existed, yet they look so real. Yes, this is possible. Generative AI is making it happen.
Dredging
More on Generative AI
Generative AI is the technology that uses Machine Learning (ML) algorithms to
create new artefacts from existing content like text, images and videos.
Gartner has listed Generative AI as one of the Top 12 technology trends for 2022
and beyond. And forecasts that in the next three and a half years, generative
AI will account for 10 per cent of all the data produced compared to less than
one per cent now.
What Generative AI does isn’t real for sure. However, it
tricks the user into believing that it’s real. You can relate easily if you
recall the recent ‘Not Just a Cadbury Ad’. Created by AI company Rephrase.ai,
the ad used Generative AI to make the digital avatar of Bollywood heartthrob
Shahrukh Khan. This digital clone would enable thousands of small businesses
and store vendors to create customized ad campaigns featuring the celluloid
star.
What
Makes This Niche Tech Work?
Generative AI Tech mainly works on the Generative
Adversarial Networks or the GAN model. In this model, there are two neural
networks whose function is to oppose each other. One is the Generator which
creates fresh content from existing text, images or videos. Its role is to fool
the other network- Discriminator into believing that the content is real. The role
of the Discriminator is to make sure that the content created by the Generator
looks as good as real.
Generative
AI is More Capable than You Imagined…
If you tried the online links I shared at the top of this
post, you know that Generative AI can produce real looking snaps of humans. It
can do a lot more. One of the promising applications of Generative AI is in
image-to-image conversion. Using this tech, you can convert black and white to
coloured photos, a photograph to an artistic painting and satellite photos to
Google Maps views. You can bank on this technology to upscale image processing
capabilities- upgrading low-resolution images to high-resolution ones.
Tackling Challenges to Propel Growth
Like any other immersive technology, Generative AI comes
with its attendant risks. The technology can be misused by fraudulent people to
create fake videos, spammy content and misleading news. Generative AI
algorithms require an enormous amount of training data to perform tasks. Also,
in some models of Generative AI like GANs, it is not easy to control their
behaviour. They perform unstably and generate an unexpected outcome. Plus,
there are the usual privacy concerns. For instance, neural networks can create
a video of a person speaking based on a single photograph!
Despite the concerns, Generative AI is the Next-Gen Tech
replete with promises. To stave off the risks posed by AI, we still need AI.
Think what a disruptive impact this technology can have on the way brands
connect with customers. For corporates, Generative AI could reset the contours
of employee engagement. It can create digital avatars of CEOs and CFOs who can
interact with every employee- a thing not so feasible in real. So, whether it’s
AI over AI or AI+ another niche tech, the right permutations can push the
boundaries of the possible.
The blog was first published on CSM Technologies website
https://www.csm.tech/in/blog-details/what-you-thought-incredible-is-possible-with-generative-ai/
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