Do you want to know what the future of artificial intelligence holds?

Artificial intelligence’s impact on the world is already being felt in a variety of ways, from chess computers to search engine algorithms to chatbots, convincing enough that researchers at Google believe It is sentient. So, what is the future of artificial intelligence?

Obviously, the future of artificial intelligence is unpredictable, just like tomorrow’s lottery numbers are unpredictable. But since research in this field drives the development of technology, we might as well put on our futuristic hats and speculate on what a future world driven by artificial intelligence will look like.

For clarity, we’ll focus on advances in artificial intelligence in business, but we’ll also paint a picture of the world at large.

The Future of Artificial Intelligence in Popular Culture

Fiction can have an impact on real-world scientific research. The Three Laws of Robotics, articulated by Isaac Asimov in his short story "Runaround," have been part of discussions about ethics since the beginning of the field of artificial intelligence. Although modern ethical discussions tend to view Asimov's laws as fair, they lack a starting point. .

In these fictional accounts, there is great anxiety about the use of artificial intelligence as a weapon. Arguably, the most famous fictional example of AI is 2001’s HAL 9000: A Space Odyssey, or the game series of the same name, The Terminator. Both properties involve artificial intelligence trying to kill humans by any means necessary.

However, AI is often portrayed as both heroes and monsters, although its status as a weapon often remains at the forefront. Many readers may remember The Iron Giant, a movie in which a 50-foot-tall alien robot struggles with his identity and the U.S. military, ultimately deciding he would rather be Superman than a weapon.

These anxieties about AI as a weapon, whether warranted or not, have an impact on modern AI-related policies. As recently as 2019, the United Nations was debating a ban on lethal autonomous weapons systems (LAWS), evoking the kind of “killer robot” anxiety that appears in novels.

Artificial Intelligence Today

Artificial intelligence has become a ubiquitous part of modern life. When something is searched for on Google, it's processed by the Multitasking Unified Model (MUM) artificial intelligence algorithm, the latest in a series of AI algorithms at the heart of Google's search engine. If you have Amazon’s Alexa or a similar home virtual assistant, then artificial intelligence has entered your home life.

Focus on business use, artificial intelligence is basically everywhere. Companies large and small around the world are using chatbots for customer service, automated fraud detection and automated invoice processing, among other technologies. In fact, this article was written using GoogleDocs, which has a smart writing feature powered by artificial intelligence that is widely used by many people.

Almost every major tech company in the world has a division actively researching or implementing AI, and there are countless new AI startups offering AI-driven software-as-a-service platforms that claim they can save companies money. . The business world, especially the tech industry, is rife with artificial intelligence and machine learning.

AI Driving the Future

So why are these companies using AI so frequently? Why are so many startups popping up to provide consumers and executives with these AI-driven capabilities? What about services? The answer is simple, artificial intelligence is a trend that has its ups and downs, and is currently on the rise in interest as a viable business technology.

In fact, GrandView Research predicts that artificial intelligence will grow at a compound annual growth rate of 38.1% from 2022 to 2030.

In addition to trends, there are viable use cases for AI that are driving the future of AI. As early as the 1980s, major U.S. companies were using expert systems to automate certain tasks with great results.

For example, Robotic Process Automation (RPA) uses artificial intelligence or machine learning to automate simple repetitive tasks, such as invoice processing mentioned above. If implemented correctly, it can be a huge cost-saving tool, especially for small and medium-sized businesses (SMBs) that cannot afford the manpower to perform the same tasks. Hopefully this use case will grow significantly in the future.

Additionally, many companies use algorithms to help optimize the user experience, such as customer service chatbots or Google Photos’ automatic image enhancements. For the former, it offers 24/7 service that no one person can provide alone. For the latter, it eliminates the human error present in Photos' manual image enhancement, resulting in more consistent improvements to your pictures.

However, customer-facing AI also has its drawbacks. Google Photos' photo tagging algorithm has been notorious for being inaccurate in the past, and anyone who's ever had to talk to a chatbot for IT support knows that they're useless if you don't know the exact way to communicate with them. But advances in this technology will certainly drive future AI developments.

Artificial intelligence develops in the direction of human-like learning

Any discussion about the future of artificial intelligence will inevitably turn to artificial intelligence to reconstruct human-like learning and growth models, or to acquire some kind of perception ability. This concept has dominated discussions in the field of artificial intelligence since the field first emerged in the 1950s.

Yann LeCun, award-winning computer scientist and chief artificial intelligence scientist at Meta, published a paper in late June 2022 discussing his own thoughts on how machines can start to think like humans. In this article, LeCun proposes using the psychological concept of world models to allow artificial intelligence to replicate the way humans intuitively predict the consequences of certain actions.

One example LeCun used was the difference between self-driving cars and human drivers. It might take multiple failed examples for a self-driving car to learn that speeding around a corner is a bad outcome, but human drivers' instinctive knowledge of physics will tell them that speeding around a corner is probably not going to be good.

Throughout the paper, LeCun explains how this concept can be replicated in artificial intelligence. He proposed a six-module architecture for artificial intelligence, in which each module feeds into each other, replicating the way all parts of the human brain feed into each other to create our observations and models of the world.

Although LeCun himself admits that his proposal has limitations and flaws, this paper is written for readers with only a small amount of technical or mathematical knowledge, so that readers in any industry can understand human-like The potential of artificial intelligence in thinking models.

Clearly, LeCun isn’t the only company looking to the future of artificial intelligence. In fact, some researchers at Google subsidiary DeepMindAI have successfully developed PLATO, an artificial intelligence that can roughly replicate babies learning simple physics concepts.

External progress that will drive the future of artificial intelligence

If we only look at the progress of artificial intelligence itself, it does not paint a complete picture. Technological progress does not occur in parallel silos, and interdisciplinary fields like artificial intelligence are especially affected by the state of the surrounding technology.

For example, cloud computing has made great progress in improving the ease of use of artificial intelligence. The infrastructure and services provided by cloud computing mean that practitioners no longer need to build and maintain independent infrastructure for their artificial intelligence platforms.

This goes both ways, too, as some developers are already using artificial intelligence to help drive cloud computing forward. This integration allows for simplified data access, access to automated data mining from cloud servers, and other benefits.

Quantum computing, based on the principles of quantum physics, allows artificial intelligence to process larger and more complex data sets than traditional computing methods.

IBM is a leader in the field and in May 2022 unveiled its roadmap for building a quantum-centric computer, which includes the first quantum-based software applications and is expected to begin development in 2025. As quantum computing develops and becomes easier to use, artificial intelligence may also begin to make leaps and bounds.

The potential impact of artificial intelligence on the world

Artificial intelligence is already having a major impact on the world around us in the 21st century, but as more research and resources are devoted to the development of the field , we will begin to see more of the impact of artificial intelligence on our daily lives.

In healthcare, artificial intelligence provides medical professionals with the ability to process ever-larger data sets. Since the beginning of the pandemic, researchers have been using AI modeling to help develop COVID-19 vaccines. As AI technology advances and becomes more popular, AI may be used to combat other illnesses and diseases.

Manufacturing is a classic example of how artificial intelligence and automation are reshaping the world. The idea of ​​computers doing blue-collar jobs in this industry is ingrained in the minds of many Americans. In fact, automation has led to job losses in some industrial scenarios.

In reality, computers have not completely replaced everyone’s jobs, but advances in artificial intelligence may make this process more automated. It’s very likely that we’ll see AI not only produce finished goods, but also perform quality checks to ensure the product is suitable for shipping, without the need for human oversight.

With many businesses shifting to work-from-home and hybrid arrangements, artificial intelligence (especially RPA) can be used to automate some of the necessary repetitive tasks in office environments, such as customer support. This can provide employees with more time to analyze and develop creative solutions to the complex problems they are hired to solve.

Banks and financial services are already using artificial intelligence, but the impact is in the way these companies analyze data, provide financial advice and detect fraud. As AI becomes more advanced, banks can be seen further leveraging AI to maintain and facilitate many of the services they offer, such as loans and mortgages.

The growing influence of artificial intelligence

The technology industry as a whole is constantly driving progress, and artificial intelligence has been one of the pillars of this progress throughout the 21st century. As technology advances and research is conducted, the impact of artificial intelligence on the industry and the world will only grow.

As mentioned earlier, we see artificial intelligence in our daily lives through search engine algorithms and virtual assistants, but as industries like banking and healthcare begin to adopt more and more artificial intelligence software and solutions, artificial intelligence It may become the most important technology field in the world today.

That said, whether it’s quantum computing taking its capabilities to new heights or realizing the enduring dream of human-like intelligence, the future of artificial intelligence is expected to play an important role in consumer and commercial markets.

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