The 7 biggest trends in artificial intelligence (AI) in 2022
In 2022, we will see artificial intelligence continue on the path to becoming the most transformative technology that humanity has ever developed. According to Google CEO Sundar Pichai, its impact will be even greater than that of fire or electricity on our development as a species. This may sound like a very ambitious claim, but given that it is already being used to help us fight climate change, explore space, and develop cancer treatments, the potential is clearly there.
The magnitude of the impact that gives machines the ability to make decisions – and therefore allow decision-making to take place much faster and more accurately than humans could – is very difficult. to be designed at present. But one thing we can be sure of is that in 2022, breakthroughs and new developments will continue to push the boundaries of what is possible. Here is my pick of the key areas and areas where these breakthroughs will occur in 2022:
The increased workforce
There have always been fears that machines or robots will replace human workers and perhaps even render some roles redundant. However, as companies navigate the process of creating data cultures and artificial intelligence within their teams, we will increasingly find ourselves working with or alongside machines that use smart and cognitive features to strengthen our own capacities and skills. In some functions, such as marketing, we are already used to using tools that help us determine which leads are worth looking for and what value we can expect from potential customers. In engineering roles, AI tools help us by providing predictive maintenance – letting us know in advance when machines will need maintenance or repair. In knowledge-based industries, like the law, we will increasingly use tools that help us sort through the ever-increasing amount of data available to find the nuggets of information we need for a particular task. In almost every profession, smart tools and services are emerging that can help us do our jobs more efficiently, and in 2022 more of us will find that they are part of our daily working lives.
Bigger and better language modeling
Language modeling is a process that allows machines to understand us and communicate with us in a language we understand – or even take natural human languages and turn them into computer code that can run programs and applications. We recently saw the release of GPT-3 by OpenAI, the most advanced (and largest) language model ever created, consisting of approximately 175 billion “parameters” – variables and data points that machines can use to process language. OpenAI is known to be working on a successor, GPT-4, which will be even more powerful. Although details have not been confirmed, an estimation that it can hold up to 100,000 billion parameters, which makes it 500 times the size of GPT-3 and, in theory, takes a big step forward in being able to create language and hold conversations that cannot be distinguished from those of a human. It will also become much better at creating computer code.
AI in cybersecurity
This year, the World Economic Forum identified cybercriminality as potentially posing a greater risk to society than terrorism. As machines take over our lives, hacking and cybercrime inevitably become a bigger problem, as every connected device you add to a network is inevitably a potential point of failure that an attacker could use against you. As networks of connected devices become more complex, identifying these points of failure becomes more complex. This is where AI can play a role, although. By analyzing network traffic and learning to recognize patterns that suggest harmful intentions, intelligent algorithms are increasingly playing a role in protecting us from 21st-th century crime. Some of the most important applications of AI that we’ll see develop in 2022 are likely to be in this area.
AI and the metaverse
The metaverse is the name given to a unified persistent digital environment, where users can work and play together. It’s a virtual world, like the Internet, but with an emphasis on the possibility of immersive experiences, often created by users themselves. The concept has become a hot topic since Mark Zuckerberg talked about its creation by combining virtual reality technology with the social foundations of its Facebook platform.
AI will undoubtedly be a mainstay of the metaverse. This will help create online environments where humans will feel at home to feed their creative impulses. We will also most likely get used to sharing our metaverse environments with AI beings who will help us with the tasks we are there for, or will simply be our partner for a game of tennis or chess when we want to chill out and unwind.
Low-code and code-free AI
A big barrier to the adoption of AI-based efficiency in many businesses is the shortage of skilled AI engineers who can create the necessary tools and algorithms. Codeless and low-code solutions aim to overcome this by providing simple interfaces that can be used, in theory, to build increasingly complex AI systems. Much like the way codeless web design and UI tools now allow users to create web pages and other interactive systems simply by dragging and dropping graphics together, sans AI systems code will allow us to create intelligent programs by connecting different, prefabricated modules and feeding them with our own domain-specific data. Technologies like natural language processing and language modeling (see above) mean that it will soon be possible to use nothing more than our voice or written instructions. All of this will play a key role in the ongoing “democratization” of AI and data technology.
AI is the “brain” that will guide the autonomous cars, boats and planes that will revolutionize travel and society over the next decade. 2022 should be a year to remember as we look ahead and contemplate in horror that we thought it was normal that 1.3 million people die each year from road accidents, 90% of which are due to human error!
As well as more and more efficient autonomous cars – You’re here says its cars will demonstrate full self-driving capability by 2022, although they are unlikely to be ready for general use. Its competitors include Waymo (created by Google), Apple, GM and Ford, and each of them is expected to announce major advancements over the next year. Hopefully the year will also see the first autonomous ship crossing the Atlantic, as the IBM-powered Mayflower Autonomous Ship (MAS) designed in partnership with non-profit ProMare will attempt the voyage again (having been forced to turn back during his first attempt this year).
We know that AI can be used to create art, music, poetry, plays and even video games. In 2022, as new models like GPT-4 and the Google Brain redefine the limits of what is possible, we can expect a more elaborate and seemingly ‘natural’ creative output from our increasingly imaginative and capable electronic friends. . Rather than these creations generally being demonstrations or experiments to show off the potential of AI, as is the case now, in 2022 we will see them increasingly applied to routine creative tasks, such as writing. titles of articles and newsletters, the design logo and infographics. Creativity is often seen as a very human skill, and the fact that we are now seeing these capabilities emerging in machines means that ‘artificial’ intelligence is undeniably moving closer in scope and function to the somewhat nebulous concept we have. of what constitutes “real” intelligence.
Read more about these and other future trends in my books, ‘Technological trends in practice ” and ‘Business trends in practice. ‘ Filled with real-world examples, it cuts through the hype to showcase the key trends that will shape the businesses of the future.