Artificial Intelligence and its subset Machine Learning are two technologies that are poised to change our lives at a much deeper level than we can imagine currently. According to Sundar Pichai, the CEO of Google, AI will transform how we lead our lives and revamp many industries, including healthcare, education, and manufacturing. And considering how AI and ML are being used to introduce revolutionary changes in the field of medicine, space exploration, etc., the probability of AI and ML helping humanity advance as a species is not far-fetched.
In recent years, AI and ML have seen some significant developments. As experts explore ways to make machines faster and more intelligent than ever using AI and ML, 2022 will be a crucial year for advancements in current breakthroughs and the dawn of new trends regarding these two technologies.
Artificial Intelligence and Machine Learning Trends to Keep an Eye on in 2022
2021 has been a remarkable year for AI and ML and 2022 will not be any different. Here are some of the major AI and ML trends that will hold prominence in 2022.
1. AI and ML Augmented Hyperautomation
Hyperautomation, as the name suggests, is automation but one step further. Hyperautomation doesn’t just automate complex tasks, but it also helps businesses and organizations look for processes to automate. And to do so, it makes use of technologies such as AI and ML, and RPA (Robotic Process Automation).
As 2022 approaches, more and more industries, and organizations will use hyper-automation to automate complicated processes for faster and more accurate results. Already the recent pandemic has highlighted the need for increased automation across several sectors. And as more developments take place in the field of hyper-automation, 2022 will be an important year to look at its achievements and behold what the future of hyper-automation will be.
2. AI and ML Injected Cybersecurity
As machines get more and more intricate, cybersecurity is a field that will see increased relevance in 2022. It’s not surprising that as technology grows, hackers devise newer and more dangerous ways to attack individuals and organizations. And the internet is a popular means of launching such attacks. Apart from data theft and compromised privacy, the danger of entire institutions collapsing due to a cyber attack is always looming.
Thankfully, Artificial Intelligence & Machine Learning enhanced cybersecurity is here to fortify cyber protection. Since AI and ML depend on learning from their environment, AI-embedded online security measures will revamp data protection in the virtual world. It is not far when companies will use sophisticated AI algorithms to detect and analyze cyber threats, create their directories and devise measures to protect data against them.
3. IoT with AI and ML
IoT or the Internet of Things refers to the billions of internet-connected devices continuously exchanging information via the web. IoT can consist of devices ranging from a smart refrigerator to a highly sophisticated robot connected to the web. IoT is already slated to be a defining technology in 2022. Experts predict that as IoT devices are enriched with the advancements of AI, their ability to analyze, transfer, and exchange complex information will increase by leaps and bounds.
4. Metaverse and Its Incorporation of AI
Metaverse, or the virtual world, is a long-standing concept that aims to replicate the real world on the internet. The term “Metaverse” traces its origins in the 1992 science fiction novel “Snow Crash” by Neal Stephenson. And though it came out of a sci-fi novel, the metaverse is close to becoming a reality today. Companies such as Meta (previously Facebook) and Microsoft have already defined their iterations of the metaverse and claimed it to be the future of the internet.
2022 is a year when Artificial Intelligence and Machine Learning will see increased integration in many technologies. And the metaverse is no different. AI and ML will play a significant role in reproducing the details of the real-world much more accurately. Attributes like speech and vision will also see augmentations to incorporate them better in the virtual world.
5. Self Driving Vehicles and AI
There is no doubting the fact that the future of driving is in automation. And companies like Tesla, the world’s largest producer of electric cars, are already giving us a glimpse into the future of automated driving. A decade ago, self-driving cars were only limited to prototypes and lab experiments. Today, however, real-world demonstrations have ensured that self-driving vehicles will indeed become a norm soon. And AI and ML will play a notable role in accomplishing this.
Companies will use AI and ML to create more advanced and consumer-centric algorithms for their self-driving vehicles. These algorithms will help vehicles detect anomalies and barriers faster, make driving on autopilot much safer, and decrease human dependence to a negligible amount.
6. NLP and AI/ML
Natural Language Processing (NLP) is a subset of Artificial Intelligence that enables machines to understand and process human language. NLP analyses and translates human language, which is complex, vague, and less straightforward than machine language, and generates comprehensible output. With NLP, computers can perform tasks such as speech recognition, inter-language translation, keyword identification, and more. An example of NLP would be the voice assistants that ship with smartphones. Assistants like Alexa, Cortana, Google Assistant, Bixby, etc., use voice commands as inputs and generate outputs accordingly.
And although the chores they do are not very complicated, they do tell us what the future of NLP holds. 2022 will be a year when NLP will see some noteworthy developments. And AI and ML will be crucial for these developments. Machines embedded with AI and ML will understand human language much more seamlessly. They will deliver spot-on results for anything we speak or write. Also, they will develop heightened abilities for interpreting and predicting words without any explicit programming.
7. AI and Ethics
Artificial Intelligence holds immense potential across several fields. Its applications in making our lives easier are countless and limitless. However, apprehensions about using AI and ML for unethical means such as warfare, terrorism, illegal pornography have made many consider its benefits. For instance, Deepfake, an AI-based technology that replaces an individual’s face in an image or a video with an artificial one, is already the subject of many controversies. Criminals are using it to fabricate evidence, generate sexually sensitive content of their victims, and more.
Thus, AI, like every other technology, is subject to a list of moral principles that should not be transgressed under any circumstances. And as the definitions of AI-related ethics grow and new ones originate, 2022 will see a more pronounced and rigorous following of moral principles concerning developments in AI and ML.
