Language Artificial intelligence is now commonplace. It assists us in filtering information in a variety of ways, from search engines to chatbots. However, AI has untapped potential when it comes to assisting humans in the processing of information.
AI has the potential to boost human talents in profound and revolutionary ways when applied in the service of learning and decision-making. We can enhance how we extract meaning from unstructured text by using today’s powerful language intelligence models, which allows us to make better business choices quicker.
Instead of focusing on humans vs. AI, consider humans Plus AI
When we consider a future in which robots replace people in our employment and lifestyles, we often feel fearful. But the fact is that we don’t have to see robots as competitors. Rather, we should consider the myriad ways that automation and AI may help humans achieve superhuman abilities, allowing us to be more productive, efficient, and successful.
In particular, AI may assist people in receiving more correct information more often when it comes to linguistic intelligence. AI opens the door to improved insights, collaboration, and, ultimately, better outcomes by aggregating critical information from a wide number and diversity of sources. Furthermore, with a supermajority of respondents in a 2020 Deloitte study indicating their companies are on the road to intelligent automation (up 25% from the previous year), now is obviously the moment to embrace the mutually beneficial collaboration between people and intelligent machines.
Using artificial intelligence (AI) as a learning aid
I’ve worked in the fields of electronic publishing, media, and technology since the 1970s, and I’ve seen firsthand the fast progress of AI. Along the way, I’ve realized that language intelligence, which we initially perceived as a technique to assist us better access information, is really a critical tool for helping us comprehend and learn — and for empowering people in ways never before imaginable.
I headed an electronic publishing research lab and a research program on the future of journalism at MIT early in my career as a scientist. My lab was right next door to Marvin Minsky’s and Seymour Papert’s, the MIT AI Lab’s founders and former co-director. As our lab students started to spend more time together discussing their work, they contributed fresh interdisciplinary ideas to our study. With the help of these new viewpoints, I began to reassess the premise of my research group’s work.
Our lab moved its emphasis from information access to how to construct around the purpose of learning, recognizing that effective learning and decision-making are critical to helping companies fulfill goals and are a significant way to take the news industry forward in the future. We realized that AI may not only help us better how we consume information, but it could also be a helpful tool for contextualizing knowledge, which is critical scaffolding for learning.
To this day, I am certain that AI has the capacity to assist individuals in learning, growing, and being more productive. AI is a learning partner, and we can all benefit from the collaborative partnership that exists between AI and humans.
How Artificial Intelligence (AI) and Language Intelligence (LI) may help businesses operate better
The capacity to make educated judgments is critical to success in any work or organization. We get a big edge in this area because to AI, particularly language intelligence. Aside from giving a better method to filter information, AI offers us access to insights we would have missed since they were extracted from a larger amount of data than we could read and analyse manually.
We now have considerably more complex models to work with than we had in the past, thanks to advances in AI and language intelligence. Today’s best-of-breed content consumption models provide more targeted and tailored methods to consume material, including domain-specific hierarchical knowledge and highly accurate content tagging.
Organizations now have the capacity to enhance internal processes and customer experiences alike, leading to much improved results, thanks to the ability to harness huge amounts of data and information. According to an Accenture study, artificial intelligence (AI) may quadruple yearly economic growth rates by 2035 and enhance workforce productivity by up to 40%.
Similarly, but rather one of replacing individuals, firms may use human-centered AI to increase their potential, investing in their success and workplace enjoyment. This provides businesses a huge competitive edge at a time when the competition for talent is intense.
The goal is to welcome rather than dread the changes that AI may bring. We can start to comprehend how human-machine cooperation may help teams perform their jobs better, allow better decision-making, and offer more ROI by turning to this mindset and recognising AI for what it is – a strong learning partner. There is no imminent threat of a robot takeover.
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