Here we go again! For the sixth year in a row, we present Neural’s annual AI predictions. 2022 has been an incredible year for machine learning and artificial intelligence. From the AI developer who tried to convince the world of this one of Google’s chatbots had become sensitive to the recent launch of ChatGPT from OpenAI, it’s been 12 months of non-stop drama and action. And we have every reason to believe that next year will be bigger and weirder.
So we reached out to three thought leaders whose companies are heavily invested 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 we would continue to see “progress from people using AI and ML software to extend 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 AI world’s ChatGPTs and DALL-Es – as well as “reliance on truly autonomous systems for finance and other backups”. office functions.”
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He believes a looming recession could well double this progress, as companies could be forced to find ways to cut labor costs.
Then we heard of Jonathan Taylor, Chief Technology Officer at Zoovu. He predicts global disruption to the consumer buyer experience by 2023 through “innovative zero-party solutions, leveraging advanced machine learning techniques and designed to interact directly and transparently with consumers.” I know this sounds like corporate jargon, but the fact is sometimes marketing language hits the nail on the head.
Consumers are tired of 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 crème de la crème rising to the top in 2023 and beyond.
Taylor also predicts that Europe’s leading consumer protection and data privacy legislation will force companies large and small to “adopt these new approaches before the outdated approaches are regulated by government or enforced by consumers”.
The writing hangs 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-infringing alternatives is to use advanced machine learning and transfer learning techniques.”
Finally we contacted Gabriel Mecklenberg, co-founder of Hinge Health. He told us that the future of AI in 2023 is diversity. To advance the field, especially when it comes to medicine, machine learning needs to work for everyone.
In his words, “AI is clearly the future of motion tracking for health and fitness, but it is still extremely difficult to get it right. Many apps will work if you’re a Caucasian with an average build and a late model iPhone with a large screen. However, fair access means AI-powered healthcare experiences need to work on low-end phones, for people of all shapes and colors, and in real-world environments.”
Mecklenberg explained that more than one in five people suffer from musculoskeletal conditions such as neck, back and joint pain. According to him, “it is a global crisis with a heavy human and economic toll”.
He believes that with AI, medical professionals have what they need to help those people. “For example,” says Mecklenberg, “AI technology can now help identify and track many unique joints and reference points on the body using just the phone’s camera.”
But as mentioned above, this only matters if these tools work everyone. Per Mecklenberg: “We need to ensure that AI is used to bridge the care gap, not widen it.”
From the editor of Neural:
It has been a privilege to compile and publish these predictions all these years. When we started, more than half a decade ago, we made a conscious choice to let the voices of smaller companies be heard. And, as longtime readers may recall, I even ventured a few predictions in 2019.
But as we’ve spent all of 2020 in COVID lockdown, I’m reluctant to tempt fate again. I’m not making any predictions for AI in 2023 except one: the human mind will endure.
When we started predicting the future of AI here at Neural, a certain segment of the population thought it smart to tell creatives to “learn how to code.” It then seemed that 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 people: we are never satisfied. Build an AI that understands us today and is obsolete tomorrow.
The future is about finding ways to make AI work for us, not the other way around.
