Coexistence of humans and artificial intelligence

A revolution is to be expected that could completely change our everyday life. Artificial intelligence harbors an immense number of opportunities, but also certain risks

Artificial Existence, Kai Fu Lee
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Currently, the United States is a leader in artificial intelligence (AI) research. They primarily contributed to the development of deep learning-based systems, which through the possibility of independent Learning Marked are. However that is technology not yet a practical part of everyday life in the USA. In contrast, China has already managed to use artificial intelligence in many areas of daily life. China, with its 1,4 billion inhabitants, acts as a test field for many pilot technologies and has thus strongly advanced the implementation of AI. For example, mobile payment has become so common there that the total of mobile transactions in 2017, at USD 18,8 trillion, was higher than the country's total gross domestic product.

Interesting topicsTechnology trends 2021 will accelerate the digital evolution

At Artificial Intelligence divide the spirits

Tesla's CEO Elon Musk, who portrays the development of AI as a threat to all of humanity, and Facebook's Mark Zuckerberg, who sees the future of homo sapiens in algorithms and automation, routinely make a prominent mud fight. A fear often mentioned in society is the replacement of human labor by robots.

The loss of jobs through automation and intelligent machines, many see as the greatest threat of artificial intelligence. The most important advantage, on the other hand, is the improvement of labor productivity, for which appropriate education and training is a prerequisite.

Expert Kai Fu Lee shows possibilities of coexistence between man and machine

Kai Fu Lee in the TED Talk "How to save humanity", August 2018

In his current book "AI Superpowers, China, Silicon Valley and the new world order"Shows Dr. Kai Fu Lee, that it does not necessarily lead to massive job losses, but rather a rethinking is required. An example from the past shows that although industrial processes have reduced manual work processes, innovation and invention have created new jobs elsewhere. Similarly, it should be in the view of Kai Fu Lee also with the artificial intelligence. The ex-president of Google China and current CEO of Sinovation Ventures, sees the opportunity, through the proper use of artificial intelligence, to prioritize priorities and improve our quality of life.

Kai Fu Lee's Matrix of the Coexistence of Humans and Artificial Intelligence

Artificial intelligence, Kai Fu Lee

The future division of humans and AI into the world of work, from the TED Talk by Kai Fu Lee

While adaptive machines can replace many routine jobs, certain activities will be brought to the forefront, requiring properties that are reserved for humans alone. These include emotional and social intelligence, creativity, critical thinking, decision-making, and teamwork. In his view, it is above all social professions, such as teaching and nursing staff, that can be promoted more intensively. In times of globalization and demographic change, this is indispensable in his opinion.

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Elon Musk and Steven Hawking are critical of the AI ​​trend

Experts, however, consider the rapidly growing collection of personal data, in the Clouds less technology companies, as critical. In addition to Elon Musk, physicist Steven Hawking predicted many risks for artificial intelligence. The reason for this is not only the clichéd autonomy of machine life, but also issues of data security and so-called technical ethics. Who bears the responsibility for errors caused by machines, especially when, for example, in the field of medicine, human health is at stake. In addition, hacker attacks can have devastating consequences.

Nevertheless, Artificial Intelligence has slowly but surely made it into our lives. From the face recognition software of the Apple X to the adaptive systems of digital voice assistants Siri, Alexa and Co. Against the background of the increasing digitization and the associated challenge of processing enormous volumes of data, knowledge technology will certainly continue to progress. Global data volume has grown by more than 2010% per year since 50, especially as more and more devices around us are connected to the Internet.



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