This article was written by Walter Bender, CTO and co-founder of Sorcero.
Linguistic AI is now ubiquitous. This helps us filter information everywhere from search engines to chatbots. But when it comes to helping humans process information, AI has untapped potential.
When used in the service of learning and decision-making, AI has the power to augment human capabilities in impactful and revolutionary ways. In particular, when we leverage today’s advanced linguistic intelligence models, we can improve how we extract meaning from unstructured text, helping us make better business decisions faster.
Stop thinking about humans vs. AI and start thinking about humans + 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 that we don’t need to think of robots as the competition. Instead, we need to think about the many ways automation and AI can help empower us with superhuman powers, helping us to be more productive, more efficient, and more effective.
In particular, when it comes to linguistic intelligence, AI can help provide humans with more accurate information more frequently. With the ability to aggregate key information from a large number and variety of sources, AI opens the door to better insights, better collaboration, and ultimately better results. Plus, with a super majority of respondents to a 2020 Deloitte survey saying their organizations are on the path to intelligent automation (a 25% increase over the previous year), it’s clearly time to embrace the beneficial partnership between humans and intelligent machines. .
Using AI as a Learning Companion
Having worked in electronic publishing, media and technology since the 70s, I have witnessed the rapid evolution of AI. Along the way, I’ve come to recognize that linguistic intelligence, which we first thought of as just a way to help us better access information, is really a key tool to help us understand and to learn – to empower humans in a way that was not possible before.
Early in my career, as a scientist at MIT, I ran a research lab on electronic publishing and a research program on the future of information. My lab was right next to the labs run by Marvin Minsky and Seymour Papert, the founder and former co-directors of the MIT AI Lab. When students in our labs began spending time together discussing their work, they brought new, interdisciplinary ideas to our research efforts. It was then, with the benefit of these new perspectives, that I began to rethink the premises of what my research group was doing.
Recognizing that effective learning and decision-making is essential to helping businesses achieve their goals and is a key way to evolve the information industry in the future, our lab has moved from access to information towards the way of architecture around the learning objective. We understood that AI could not only help improve the way we consume information, but could also serve as an invaluable vehicle for putting information into context, which is fundamental scaffolding for learning.
To this day, I’m a firm believer in the principle that AI has the potential to help people learn, grow, and be more productive. AI is a learning companion, and we can all benefit from the cooperative relationship between AI things and human things.
How AI and linguistic intelligence can boost business performance
In any job, in any business, the ability to make smart decisions is essential to success. With AI, and, in particular, linguistic intelligence, we get a significant advantage in this regard. In addition to providing a better way to filter information, AI gives us access to information that we might have overlooked and that has been extracted from a larger volume of information than we could read and process on our own. .
With advances in AI and linguistic intelligence, we now have much more sophisticated models to work with than the general linguistic models of the past. Today’s best consumption models offer more targeted and personalized ways to consume content, offering everything from domain-specific hierarchical knowledge to highly granular content markup.
Now, with the ability to harness vast amounts of data and content, organizations have the power to improve internal processes and consumer experiences, leading to significantly better results. In fact, according to a study by Accenture, AI could double annual economic growth rates by 2035 and increase labor productivity by up to 40%.
Indeed, with human-centric AI, organizations are able to boost the potential of their employees, investing in their success and job satisfaction, rather than replacing them. At a time when the war for talent is fierce, this gives employers a significant competitive advantage.
The key is to embrace the transformation offered by AI, rather than fear it. By shifting to this perspective and seeing AI for what it is – as a powerful learning companion – we can begin to see how human-machine collaboration can help teams do their jobs better, enable better decision-making and deliver a better return on investment. There is no robot takeover in sight.
Walter Bender is CTO and co-founder of Sorcero.
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