Hendler editorial: Artificial intelligence will be used for large-scale programming

Today, AI not only learns to read lips and create new recipes, but also wins chess, and crushes human players in Jeopardy. All big-name technology companies seem to be trying to integrate them into their business operations. Almost every new application is announcing that its software uses some kind of machine learning to enhance the user experience. AI has occupied the headlines like never before, and the AI ​​revolution has begun. With the tail of 2016, we can't help but ask: What will happen next? The author Peter Rejcek has decades of experience in science journalism. Follow his article to learn about James Hendler's view of artificial intelligence.

James Hendler is Director of the Institute for Data Exploration and Applications at Rensselaer Polytechnic Institute and one of the developers of the Semantic Web. He co-authored Alice M. Mulvehill, "Social Machines: The Emerging Conflicts between Artificial Intelligence, Social Networks, and Humanity."

This book is not too concerned about predictions for the future, but rather focuses more on expectations of what people can and cannot do. As Hendler thinks, the problem is that the arrival of AI is a terminator's fear or utopian dream for many people, and they do not consider the role of humanity in it.

He explained:

People think that this technology is black and white. In fact, in the cycle of human participation, humans can always better deal with the gray area.

Borrow a slightly politically slogan: Unity makes us (human and AI) stronger. This is Hendler's a priori for the future of artificial intelligence.

Use AI for large-scale programming

Hendler stated:

I think the excitement in the short term is to see how easy it is to make AI technology easy for programmers to use. AI technology is no longer an exclusive technology for experts.

The course he currently teaches in artificial intelligence cognitive computing illustrates this. One of the projects his undergraduate is doing is creating a chat bot that answers all questions about the fantasy world of Harry Potter in a matter of weeks. A few years ago, such a high-level assignment should be a doctoral student's thesis work.

Where has changed?

Now you no longer need to build deep learning, computer vision or natural language components from scratch. Just download an open source package and adjust it to integrate it into your system. It's a bit like playing WordPress. Hendler prefers to use the new era of the Internet as an analogy. In the early 1990s, someone with a basic understanding of HTML could build a website with pre-packaged code that could be installed on the machine.

Hendler said:

The way AI technology is packaged makes it easier to use, which is like putting all the parts together to explore new possibilities in the application, rather than simply studying what these components are.

Open the door to innovation

In a short period of time, players of all sizes in the industry have joined the competition. We'll see small companies make use of existing deep learning, visual and linguistic technologies to innovate, while heavyweight companies like Microsoft, Google and Facebook will invest heavily in their AI technology and open up new ones. direction.

In addition, academia and government will continue to play an important role in the development of artificial intelligence related technologies. Hendler exemplified the development of autonomous vehicles, first developed in the DARPA Grand Challenge, initiated by teams such as Stanford University, and then further developed by Google to more mature technology. Until now, almost all car companies are developing their own driverless cars.

While the need to develop new AI technologies is still urgent, Hendler believes that the focus will now be on using existing AI tools in business cases.

I think this kind of innovation is the focus of entrepreneurs and startups. We will see a lot of technological innovations in this area in the future.

Solve problems in developed and developing countries

From the perspective of the average technology user, what will AI look like in 2017 and in the future? In this case, this may be a process of simplification, because technology is permeating all aspects of the environment. This is not as simple as buying things, the whole world will be different.

Take Apple's ubiquitous virtual assistant Siri as an example. Siri's ability to perform complex tasks is constantly improving, but it still often returns to the web search method by default to get the answer.

I believe that in the near future, we can see a scenario where the user gives an instruction to Siri or similar products 'Show me a picture of my child's lunch today', and the machine responds quickly and gives the correct result.

In fact, we can already see such cutting-edge technology from several startups that Hendler mentioned in the book. A company called Snips is using AI technology called context aware to build a memory on a user's mobile device by sorting data such as contacts, emails, calendars, photos, and more. Almost became the "confidant" of the user. Over time, it captures important information in the user's life and becomes a single portal for all applications and information on the device.

Rand Hindi, CEO and founder of Snips, said in a 2015 TEDx presentation:

This is a way to make technology disappear through artificial intelligence, you can use it to deal with a whole day of things and ignore its existence.

Of course, letting technology disappear is a problem that developed countries are considering. Hendler is optimistic that AI technology will play an important role in improving projects in developing countries. It is worth mentioning that Hendler and others are working with IBM to educate 1 billion people in the next five years.

The AI ​​technology we're discussing will be able to dramatically change the lives of most people, especially those living in low literacy countries who will see technology enter and change their lives in an unprecedented way.

Education is the key to opening the door to innovation

A world in which artificial intelligence and related technologies are increasingly developed will face large-scale turmoil and destruction, a phenomenon that is mixed. On the one hand, technological advances can lead to structural unemployment, for example, the work of 1.8 million truck drivers may be completely replaced by autonomous vehicles in less than a generation. On the other hand, AI technology can save a lot of money. For example, in the medical industry, IBM's Watson supercomputer greatly improved the medical service experience. According to the US Health Care Service, Americans spend 17.5% of their national health care.

Hendler believes that governments need to participate in this process, effectively manage these changes and remove barriers to technological innovation. Education is the key to the AI ​​revolution. By receiving education, people will understand where the strengths of computers are and where they need to be improved.

That's why people need to be smarter. Technicians can help policy makers figure out the differences. After all, understanding these differences is critical.

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