The Yuan AI 2022 - To Infinity and Beyond
By Gaurav Chandra  |  Dec 28, 2021
The Yuan AI 2022 - To Infinity and Beyond
Image courtesy of and under license from Shutterstock.com
Dr Gaurav Chandra presents the second in a series of articles this week on The Yuan platform predicting the evolution of artificial intelligence in 2022. He looks forward to what the future holds for us next year and explores five trends in AI that will shape humankind forever.

DENVER, COLORADO - The COVID-19 pandemic has generated the Fourth Industrial Revolution (4IR). It has created a think tank for new technology, innovation, and strategy, amalgamating the physical, digital, and biological worlds in ways that will change humanity in the future. A fusion of advances in artificial intelligence (AI), robotics, the Internet of Things, three-dimensional (3D) printing, genetic engineering, quantum computing, and other technologies is what constitutes the 4IR. The scope, scale, and complexity of this phenomenal transformation is almost beyond comprehension. Unlike other industrial revolutions, where advances did not impact human biology, the 4IR changes involve technology’s impact both on and within the human body, redefining us as humans. Let us look at five trends in AI that will shape the future of humankind.


Human-Centered AI

"Our intelligence is what makes us human, and AI is an extension of that quality." 

Yann LeCun.

While human advances have been driven by the evolution of tools, machines, and discoveries that enhance our regular abilities, there has been minimal development in adapting technology to understand the human emotional mind – the part that controls our empathy. Empathic AI will be the critical element for this transformation.

Advancements are anticipated in the Theory of Mind (ToM) AI favoring the human element. In this, AI will interact with the thoughts and emotions of humans and evolve into a two-way relationship. Computers of this kind of AI will be able to understand feelings. They will differentiate between people's various emotions and adjust their responses accordingly. StylePredict, e.g., mimics human ToM to infer driver conduct, using a computational mapping between the expected trajectory of a vehicle

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