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This article is contributed by Walter Bender, CTO and co-founder of Wizard.
Language AI is now ubiquitous. It helps us filter information everywhere, from search engines to chatbots. But when it comes to helping people process information, AI has untapped potential.
When used in learning and decision making, AI has the power to enhance human capabilities in effective and revolutionary ways. Especially when we utilize today’s advanced language intelligence models, we can improve how we extract meaning from unstructured text, which helps us make better business decisions faster.
Stop thinking about people vs. AI and start thinking about people + AI
We tend to react with fear when we think of a future where robots replace humans in our workplaces and in our lives. But the truth is, we do not have to think of robots as competitors. Rather, we need to think about the many ways in which automation and artificial intelligence can help give us superhuman powers and help us be more productive, more efficient, and more efficient.
Especially when it comes to linguistic intelligence, AI can help provide people with more accurate information more often. With the ability to gather key information from a large number and different sources, AI opens the door to better insight, better collaboration, and ultimately better results. What’s more, with a super-majority of respondents in a 2020 Deloitte survey saying their organizations have embarked on a path to intelligent automation (a 25% increase from the previous year), it’s now time for to embrace the beneficial partnership between humans and intelligent machines.
Using AI as a learning partner
Having worked in electronic publishing, media and technology since the 70s, I have seen the rapidly growing development of AI on its own. Along the way, I have come to recognize that linguistic intelligence, which we first saw as just a means of helping us better access information, is truly a key tool to help us understand and learn – to empower people. ways that were not previously possible.
Early in my career as a scientist at MIT, I ran a research laboratory in electronic publishing and a research program on the news of the future. My lab was right next to labs run by Marvin Minsky and Seymour Papert, the founder and former co-directors of MIT AI Lab. As the students in our laboratories began to spend time together discussing their work with each other, the new interdisciplinary ideas brought to our research efforts. It was then, with the benefit of these fresh perspectives, that I began to reconsider the premise of what my research team was doing.
Recognizing that effective learning and decision making is central to helping companies achieve their goals and is an important way to move the news industry in the future, our lab shifted focus from information access to how to architect around the goal of learning. We understood that artificial intelligence could not only help improve the way we consume information, but could serve as an invaluable tool for putting information into context, which is a fundamental scaffold for learning.
To this day, I strongly believe in the principle that AI has the potential to help people learn, grow, and be more productive. AI is a learning partner and we can all benefit from the collaborative relationship between things, AI and things that are human.
How AI and Linguistic Intelligence Can Boost Company Performance
In any job, in any business, the ability to make intelligent decisions is central to success. With AI, and in particular language intelligence, we get a significant advantage in this regard. In addition to providing a better way of filtering information, AI gives us access to insights we may have overlooked and which have been gleaned from a greater amount of information than we could even read and process.
With the development of artificial intelligence and linguistic intelligence, we now have much more sophisticated models to work with than the general language models of the past. Today’s best consumer models offer more targeted and personalized ways to consume content, offering everything from domain-specific hierarchical knowledge to highly accurate content tagging.
Now, with the ability to leverage vast amounts of data and content, organizations have the power to improve both internal processes and consumer experiences, leading to significantly better results. In fact, according to research from Accenture, AI could double annual economic growth rates by 2035 and increase labor productivity by up to 40%.
With human-centered artificial intelligence, organizations are actually able to boost the potential of their employees by investing in their success and their workplace satisfaction instead of replacing them. At a time when the war for talent is fierce, it gives employers a significant competitive advantage.
The key is to embrace the transformation that AI offers, instead of fearing it. By shifting to this perspective and seeing AI for what it is – as a powerful learning partner – we can begin to see how human-machine collaboration can help teams perform their work better, enable better decision-making, and deliver greater ROI. There is no robot takeover in sight.
Walter Bender is CTO and co-founder of Wizard.
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