How AI and linguistic intelligence are helping employees learn

Did you miss a session of the Future of Work Summit? Go to our On-demand library from the Future of Work Summit to broadcast.

This article was contributed by walter bender, CTO and co-founder of magician

AI language now it is ubiquitous. It 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 skills in impactful and revolutionary ways. In particular, when we take advantage of today’s advanced linguistic intelligence models, we can improve the way extract meaning from unstructured text, which helps 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 lives. But the truth is, we don’t need to think of robots as the competition. Rather, we need to think about the many ways that automation and AI can help give us superhuman powers, helping us to be more productive, more efficient, and more effective.

In particular, when it comes to language intelligence, AI can help provide humans with more accurate information more often. 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. Furthermore, with a large majority of respondents in 2020 deloitte survey Saying that your organizations have embarked on the path to intelligent automation (an increase of 25% from the previous year), clearly now is the time to embrace the beneficial partnership between humans and intelligent machines.

Use AI as a learning partner

Having worked in the field of electronic publishing, media, and technology since the 1970s, I have seen firsthand the rapid evolution of AI. Along the way, I came to recognize that the intelligence of language, which we first saw simply as a means to help us better access information, is actually a key tool in helping us understand and learn, in empowering humans in ways that were never before possible. they were not possible.

Early in my career, as a scientist at WITH, Iran a research laboratory on electronic publishing and a research program on the future of news. My lab was immediately next to the labs run by marvin minsky other Seymour Paper, the founder and former co-directors of the MIT AI Lab. As students in our labs began spending time together discussing their work with each other, 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 premise of what my research group was doing.

Recognizing that effective learning and decision-making is critical to helping companies meet goals and is a key way to drive the news industry well into the future, our lab shifted focus from access to information to how design around the learning objective. We understood that AI could not only help improve the way we consume information, but could serve as an invaluable vehicle for putting information into context, which is a critical scaffold for learning.

To this day, I firmly 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 cooperative relationship between AI things and human things.

How AI and linguistic intelligence can drive business performance

In any job, in any business, the ability to make smart decisions is critical to success. With AI and, in particular, language intelligence, we gain a significant advantage in this regard. Beyond providing a better way to filter information, AI gives us access to information that we may have missed and been extracted from a larger volume of information than we could read and process ourselves.

With the advancement of 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 accurate content tagging.

Now, with the ability to harness vast amounts of data and content, organizations have the power to improve internal processes and consumer experiences alike, leading to significantly better results. In fact, according to research by Accent, AI could double annual economic growth rates by 2035 and increase labor productivity by up to 40%.

Indeed, with human-centric AI, organizations can empower their employees, invest in their success and workplace satisfaction, rather than replace 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 that AI offers, rather than fear 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 do their jobs better, enable better decision-making, and generate value for money. a higher return on investment. There is no robot takeover in sight.

walter bender is CTO and co-founder of magician

Data decision makers

Welcome to the VentureBeat community!

DataDecisionMakers is where experts, including data technicians, can share data-related information and innovation.

If you want to read about cutting edge ideas and up-to-date information, best practices, and the future of data and data technology, join us at DataDecisionMakers.

You might even consider contributing to an article of yours!

Read more from DataDecisionMakers

Exit mobile version