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Stanford Study: How AI Affects Urban Life

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That is a topic researchers at Stanford University have set out to shed some light on, with the release of the first in a series of reports in the One Hundred Year Study on Artificial Intelligence. This ambitious long-term study, known as AI100 was the brainchild of Eric Horvitz, Stanford alumnus and now managing director of the Microsoft Research lab in Redmond. Drawing on the knowledge of interdisciplinary research academics, the aim of AI100 is to give a better understanding of the potential impact of AI over the longer term. Importantly, the study is not meant to offer solutions, but rather to start a discussion centering on the best ways that AI can work for the benefit of society. Artificial Intelligence and Life in 2030 is the product of the first of a century long chain of standing committees working together over the period of the study.


This is How Artificial Intelligence Will Change Urban Life in 2030, According to Stanford Study

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Technology has greatly affected our lives over the years. Now, a study from Stanford University has revealed how artificial intelligence (A.I.) may change people's lifestyle -- from transportation, employment, health and household chores -- by the year 2030. According to a Stanford report entitled "Artificial Intelligence and Life in 2030," A.I. will be more common and will, in fact, be helpful in terms of improving the economy and everyday quality of life. "A.I. technologies can be reliable and broadly beneficial. Being transparent about their design and deployment challenges will build trust and avert unjustified fear and suspicion," said Barbara Grosz, a computer scientist from Harvard and chair of AI100 (Stanford's One Hundred Year Study on Artificial Intelligence) via Computer World. The study reveals that in 2030, autonomous vehicles will roam the streets.


The problem with the Stanford report's sanguine estimate on artificial intelligence

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Stanford has undertaken an important effort: envisioning the implications of artificial intelligence over a 100-year span, to "anticipate how the effects of artificial intelligence will ripple through every aspect of how people work, live, and play." But there is a problem, potentially fundamental enough that the team may want to revisit its first report or adjust its approach as it goes forward. This is the report's relatively weak coverage of the urban, human security implications of AI. According to the purpose statement, this first study focuses on the implications of AI in 2030 in the "typical North American city." I suppose the thin treatment of security may derive from the huge assumption that North American cities will remain peaceful and secure, and thus AI and intelligent machines won't carry significant human security implications.