AI Guru Andrew Ng in tomorrow's job market
AI Guru Andrew Ng in tomorrow's job market
Sensitive artificial intelligence can take hundreds of years to develop, but AI is already starting to transform almost all industriessays Andrew Ng, a pioneer in the field.
Ng is the former chief scientist of Baidu, where he started a division of 1,300 people that helped create the search engine, virtual assistant and other products of the Chinese technology conglomerate. Prior to that, he co-founded Google Brain, the company's deep learning research team. its work in neural networks helped lead to the creation of an image identification system that supports the voice recognition of the Android mobile operating system. Ng also co-founded Coursera, an online education company.
In April 2017, Baidu, 42, left. to launch two new AI companies in Palo Alto, California: an online education platform called deeplearning.ai and Landing AI, which aims to bring IA to manufacturing, agricultural and other industries. He recently spoke with The Future of Everything about how to create an equitable society in the age of automation, how CEOs deceive the public about AI and why, this time, technology is here to stay.
AI will connect like electricity
AI is a general purpose technology similar to internet and electricity, applicable to many industries. It is hard to imagine most companies or governments without internet. In the future, it will be difficult for us to imagine how to execute these things without great artificial intelligence capabilities as well.
Artificial intelligence is programmed to revolutionize all sectors, and will probably eliminate all job categories in the coming years, said Andrew Ng, an associate professor at Stanford and former Baidu scientist, at the WSJ D.Live Asia conference.
A basic conditional income could combat the loss of employment
Of the things that concern me about AI, job displacement is really high. We have to make sure that the wealth we create [through AI] It is distributed fairly and equitably. For me, ethics is not about making sure your robot does not become evil. It is about really thinking, what is the society we are building? And making sure it's fair, transparent and fair. I believe that the government should also play a role in basic conditional income. Silicon Valley has a lot of enthusiasm about unconditional basic income. I do not support that. There is a lot of dignity to work. For someone who is unemployed, I really support the government by providing them with a safety net with the expectation that they will do something to contribute, such as studying, so that they can acquire the skills they need to re-enter the workforce and contribute back to the tax base that is expected to be paid for all this.
We will need to change education (with the help of employers)
We build the K-12 [education] systems, and we built the higher education system, and these were very difficult things to do. We need something more about that now. I am focused on trying to establish the educational structure to give people the skills they need to succeed in this economy. One is the increase in accessible content, so Coursera and deeplearning.ai play an important role in that, but we need more than that. Companies also play a very important role in the construction of education. In this brighter future that I want to build, you will not go to school for four years and then you will code for the rest of your life. You have to be a lifelong learner. Even when you are employed by a company, now the company has a greater responsibility to support you to keep your skills updated. And with the rise of digital content companies, [we] In fact, they have the ability to do so at low cost and with very high levels of efficiency. Education is necessary to create a stream of talent to really support businesses and the government, as well as to have a well-educated constituency that is crucial to having a well-functioning democracy.
Automation will be displayed in the doctor's office and beyond
In the case of manufacturing, we have been doing a lot of work in visual inspection. Instead of needing a lot of people, sometimes hundreds of people, using their eyes to inspect things, we can write software that uses a camera that can inspect if an electronic item has a scratch, for example. In agriculture, we are doing a great job of collecting data from farms to help farmers make better decisions about when to plant crops and when to harvest, what is the best crop to plant, to help farmers to be more systematic in the use of big data In making such decisions. Many people have talked about Automated diagnosis in health.. There are still many regulatory issues that need to be resolved, but I believe that having AI's help in health care will be very valuable as a decision support system to help doctors read X-rays. I think that will come.
AI the winter is not coming ...
I do not think we're in another AI winter [a period of decreased AI funding and interest]. In the previous winters of AI, there was not much economic value created through AI. They were relatively small groups of researchers whose work was overrated. But if you look at it today, the fundamentals do support the rise of AI. Companies are bringing large amounts of revenue with AI. There is a clear roadmap for the AI to create large amounts of value. That will not go away.
... But our timelines are too attractive
In fact, I would like to receive a correction in public opinion about what AI can and can not do. This has happened to me several times, when I heard a CEO on the stage make an announcement about what his company is doing with the AI, and then 20 minutes later he would talk to one of his engineers, and they would say: "No, no We are doing that, and we have no idea how to do it. " I think a trial is still needed to know what is and what is not possible with AI, and when the C-suite still does not have that judgment it is possible for companies to make very public promises that simply are not feasible. Frankly, we see some of this in the self-driving space. Multiple auto [original equipment manufacturer] CEOs have promised automotive work plans that their own engineers consider unrealistic.. I feel [CEOs are] Be honest, but do not really understand what can be done within a certain time frame.
This interview has been edited and condensed.
Prophets is a series of interviews of The future of everything Where remarkable figures of business, culture and technology reveal what is coming.
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