(Original title: How AI can be a force for good)
Netease Technology News June 29, according to VentureBeat reports, you may have heard that in 2022 there are 5 million jobs in the world replaced by artificial intelligence (AI)-supported automation. You may also have heard that Oxford University estimates that 47% of jobs in the United States are under the threat of automation. In addition, you may know many similar terror-related statistics. But do you know? AI can detect genetic diseases that cannot be discovered by human doctors. Using smart grids can significantly reduce power consumption. AI can supervise children with personalized teaching techniques.
The horrible numbers like the ones above are widely used to attract attention to headlines, but we seldom focus on the great potential that AI can and will have a positive global impact. This requires us to actively promote its growth through transparent and thoughtful cooperation. As a mother, I was worried about the world in which my children lived, and was alert to the impact of AI on the business world and the job market. But I am also an entrepreneur and optimist. I don't think AI is bad news.
In fact, I believe that the benefits of AI will far exceed the unrest and worries it brings. However, if we continue to encourage fear culture around AI, this potential real danger will never be a reality. We can build a brighter future. AI can help us to do this. But major stakeholders—governments, technology companies, researchers, and educators—must work together to develop global solutions while rethinking the social impact of AI.
End the privacy tradition
Companies around the world are scrambling to incorporate machine learning into their business models, regardless of the industry they belong to. 2016 is a record year for AI investment. By 2019, the market value of machine learning applications will exceed 30 billion U.S. dollars. The competition for becoming an "AI company" is fierce. After 25 years in the technology circle, I would like to say that the AI ​​industry is the most brutal field I have ever seen.
Google and Uber are still court ruling on the commercial stealing of driverless cars. Amazon, Microsoft and Google are racing to build the best virtual assistants. Many companies are making huge payments for entry-level AI experts. AI is becoming the focus of competition for leading technology companies, and its risk is higher than ever before.
In view of this, it is not surprising that technology giants have implemented such a strict confidentiality system. Apple kept secretive about the progress of its AI, refused to publish research papers, and used strict contracts to restrict employees. Until Facebook condemned Apple's policy to prevent the company from hiring top AI talent, Apple agreed to publish some of the research results. Google also strictly keeps its tensor processing unit (TPU) technology confidential, but only occasionally reveals its latest progress at meetings that the general public cannot attend.
The consequence of this kind of security measures is that a lot of resources are used for a few projects. Research and development also tend to focus on the most dazzling and consumer-oriented projects, such as driverless cars, chat robots, and virtual assistants, and focus too little on solving health, clean energy, education, and other challenges. Not only do we need to give priority to these more socially-influential technologies, we also need to create them together.
Forming AI Alliance
AI researchers are all committed to solving the basic problems of machine learning, namely how to identify and process original texts, speech and images, predict behaviors and events, and help eliminate uncertainty when the algorithm cannot make highly credible decisions. If the key knowledge about these issues is shared openly, I believe we can develop socially influential AI technology more quickly.
As head of work and study at Toronto's MaRS Discovery District, I work with companies that are committed to achieving these goals. PeopleAnalytics uses AI and language psychology to manage organizational risks such as workplace violence and fraud; Rank Software uses big data and deep learning to help combat cybersecurity risks and protect customers; Clearfit uses AI technology to ensure that organizations put the right people in the right place On the post. However, these three companies have common ground in the development of "being good AI" and are working together to strengthen their technology.
MaRS Discovery District is also home to the AI ​​Vector Institute, an independent research institute that brings together many of the world's best and brightest AI talent. The AI ​​Vector Institute unites academic talent, world-renowned researchers, and top technology companies to encourage information sharing and cross-cooperation. It is here that IBM Watson researchers work closely with engineers at Autodesk, a 3D design software company. University of Toronto’s machine learning researchers and companies such as Deep Genomics have teamed up to turn ideas into reality. Socially influential technologies are on a daily basis. It was born here.
AI helps the future
By working together to identify prejudices in algorithms, optimize predictive intelligence, and solve other fundamental problems in machine learning, we can also apply this learned knowledge to many industries, from clean energy to the medical field, and create benefits for the entire society. The overall technology. Collaboration can free up resources, give us new ideas, break out of our boundaries, and provide guidance on key technical issues. I can see this in the MaRS Discovery District.
However, these technologies have not progressed at a pace that balances the impending automation impact, nor are they able to meet market demands globally. Driverless cars and chatbots themselves have not brought about positive changes in our community's needs. We need more open resources dedicated to AI, use them to discover diseases, help educate children, and establish sustainable environmental solutions, but we cannot work in isolation to achieve these goals.
By encouraging large companies to hide less about their technology, establish a space for natural openness and cooperation, and identify and invest in companies that can create positive social impact, we must find more ways to promote AI growth. (small)
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