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Patent Pending For Philosopher And Astrophysicist

Patent Pending For Philosopher And Astrophysicist

What does any of this have to do with machine intelligence? Turing then proposed a modification of the game, in which instead of a man and a woman as contestants, there was a human, of either gender, and a computer at the other terminal. Now the judge"s job is to decide which of the contestants is human, and which the machine. Turing proposed that if, under these conditions, a judge were less than 50% accurate, that is, if a judge is as likely to pick either human or computer, then the computer must be a passable simulation of a human being and hence, intelligent. The game has been recently modified so that there is only one contestant, and the judge"s job is not to choose between two contestants, but simply to decide whether the single contestant is human or machine. AI systems that leverage prediction algorithms can also automate the process of identifying the right category and assignment group for tickets, eliminating the need for fulfillers to dedicate valuable time and resources to the mundane task of reviewing and routing tickets.

The answer to this is simple: Next Generation Robots should be treated like animals: still the property of their owners but the responsibility for an accident is more & more placed in the hands of the owners. If I have a pit bull who mauls a neighbor"s child, it"s not the fault of the pit bull"s mother or God or anyone else, but me: the owner. It"s my responsibility to keep him locked in a pen and trained not to maul people.

One problem of concern is that the world"s leading digital entrepreneurs are perceived as the technological elite with excessive power and influence over global affairs. Bostrom counsels that anyone who develops an AI might not make it generically philanthropic, but could instead give it the more limited goal of serving only some small group?. We can conclude that today"s digital systems are pretty good at following Asimov"s Second Law of Robotics, but we must take care in deciding what orders to give them.

Most importantly, we need to begin a conversation about who owns the machines and how to distribute their proceeds more fairly. While for most of human history our problems have revolved around issues of material scarcity, the new machine age promises to bring about an era of unprecedented abundance - more than enough to meet everyone"s needs. The question is whether we have the political courage and conviction to share the wealth wisely.

The recent trend towards increased automation stems in part from the Great Recession, which forced many businesses to operate with fewer workers. After growth resumed, many businesses continued automating their operations rather than hiring additional workers. This echoes a trend among technology companies that receive massive valuations with relatively few workers. For example, in 2014 Google was valued at $370 billion with only 55,000 employees, a tenth the size of AT&T"s workforce in the 1960s.

Dey points to a report from the World Bank that 57 percent of jobs worldwide are currently being displaced by automation. Those numbers are even higher in some of the countries that have the highest levels of manufacturing, such as Thailand, China, and India.


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