Here we go again! For the sixth consecutive year, we present Neural’s annual AI predictions. 2022 was an incredible year for machine learning and artificial intelligence. From the AI developer trying to convince the world that one of Google’s chatbots had become sentient to the recent launch of OpenAI’s ChatGPT, it’s been 12 months of non-stop drama and action. And we have every reason to believe that next year will be both bigger and stranger.
That’s why we reached out to three thought leaders whose companies are investing heavily in artificial intelligence and the future. Without further ado, here are the predictions for AI in 2023:
First, Alexander Hagerup, co-founder and CEO of Vic.ai, told us that we’ll continue to see the “progress from people using AI and ML software to augment their work to people relying on software to do the work for them autonomously.” According to him, this will have a lot to do with generative AI for creatives – we’re pretty sure he’s talking about the ChatGPTs and DALL-Es of the AI world – as well as “reliance on truly autonomous systems for finance and other clerical work. “
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He believes a looming recession could even double that progress as companies could be forced to find ways to reduce labor costs.
Next we heard from Jonathan Taylor, Chief Technology Officer at Zoovu. He predicts the consumer shopper experience will be transformed globally by 2023 thanks to “innovative zero-party solutions that leverage advanced machine learning techniques and are designed to interact directly and transparently with consumers.” I know this sounds like corporate jargon, but the fact of the matter is that marketing language sometimes hits the nail on the head.
Consumers are fed up with the traditional business interaction experience. We’ve been on hold since we were old enough to pay bills. It’s a bold new world and the companies that know how to use machine learning to make us happy will be the cream that comes out on top in 2023 and beyond.
Jonathan Taylor, Chief Technology Officer at Zoovu
Taylor also predicts that Europe’s world-leading consumer protection and privacy legislation will force companies large and small to “adopt these new approaches before the old approaches are either regulated by government or mandated by consumers.”
The writing is on the wall. As he puts it, “The only way to make these zero-party solutions truly scalable and as effective as the older privacy-violating alternatives will be to use advanced machine learning and transfer learning techniques.”
Finally, we got in touch with Gabriel Mecklenburg, co-founder of Hinge Health. He told us that in 2023, the future of AI lies in diversity. For the field, especially in medicine, to continue to evolve, machine learning needs to work for everyone.
In his words, “AI is clearly the future of motion tracking for health and fitness, but it’s still extremely difficult to get good results from. Many apps will work if you’re a white person with an average body and a newer iPhone model with a large screen. However, equal access means AI-powered care experiences need to work on low-end phones, for people of all shapes and colors, and in real-world environments.”
Gabriel Mecklenburg, co-founder of Hinge Health
Mecklenburg explained that more than one in five suffer from diseases of the musculoskeletal system such as neck, back and joint pain. According to him, “It is a global crisis with a heavy human and economic toll.”
He believes medical professionals with AI have what they need to help these people. “For example,” says Mecklenburg, “AI technology can now help identify and track many unique joints and reference points on the body just by using the phone camera.”
But as mentioned above, this only matters if these tools work for everyone. According to Mecklenburg, “We need to ensure that AI is used to close the care gap, not widen it.”
From the publisher of Neural:
It has been a privilege to curate and publish these predictions over the years. When we started over half a decade ago, we made a conscious choice to highlight voices from smaller companies. And as long-time readers may remember, I even made a few predictions myself in 2019.
But considering we’ve spent the whole of 2020 in COVID lockdown, I’m reluctant to tempt fate again. I make no predictions for AI in 2023 except one: the human spirit will endure.
When we first started predicting the future of AI here at Neural, a certain segment of the population thought it smart to tell creatives to “learn to code”. At the time, it seemed as if journalists and artists were about to be replaced by machines.
But six years later we still have journalists and artists. That’s the problem with humans: we’re never satisfied. Build an AI that understands us today and is obsolete tomorrow.
The future is all about finding ways to make AI work for us, not the other way around.