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Steve Bosserman

Which Industries Are Investing in Artificial Intelligence? - 0 views

priceonomics.com/es-are-investing-in-artificial

artificial intelligence machine learning investment future trends

shared by Steve Bosserman on 29 Nov 18 - No Cached
  • The term artificial intelligence typically refers to automation of tasks by software that previously required human levels of intelligence to perform. While machine learning is sometimes used interchangeably with AI, machine learning is just one sub-category of artificial intelligence whereby a device learns from its access to a stream of data.When we talk about AI spending, we’re typically talking about investment that companies are making in building AI capabilities. While this may change in the future, McKinsey estimates that the vast majority of spending is done internally or as an investment, and very little of it is done purchasing artificial intelligence applications from other businesses.
  • 62% of AI spending in 2016 was for machine learning, twice as much as the second largest category computer vision. It’s worth noting that these categories are all types of “narrow” (or “weak”) forms of AI that use data to learn about and accomplish a specific narrowly defined task. Excluded from this report is “general” (or “strong”) artificial intelligence which is more akin to trying to create a thinking human brain.
  • The McKinsey survey mostly fits well as evidence supporting Cross’s framework that large profitable industries are the most fertile grounds of AI adoption. Not surprisingly, Technology is the industry with highest AI adoption and financial services also makes the top three as Cross would predict.Notably, automotive and assembly is the industry with the second highest rate of AI adoption in the McKinsey survey. This may be somewhat surprising as automotive isn’t necessarily an industry with the reputation for high margins. However, the use cases of AI for developing self-driving cars and cost savings using machine learning to improve manufacturing and procurement efficiencies are two potential drivers of this industry’s adoption.
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  • AI jobs are much more likely to be unfilled after 60 days compared to the typical job on Indeed, which is only unfilled a quarter of the time. As the demand for AI talent continues to grow faster than the supply, there is no indication this hiring cycle will become quicker anytime soon.
  • One thing we know for certain is that it is very expensive to attract AI talent, given that starting salaries for entry-level talent exceed $300,000. A good bet is that the companies that invest in AI are the ones with healthy enough profit margins that they can afford it.
Steve Bosserman

60 Minutes: Facial and emotional recognition; how one man is advancing artificial intel... - 0 views

www.cbsnews.com/...ancing-artificial-intelligence

data mining data analysis artificial intelligence facial recognition climate change cognitive dissonance conservatives man intelligence news

shared by Steve Bosserman on 15 Jan 19 - No Cached
  • Basically chauffeurs, truck drivers anyone who does driving for a living their jobs will be disrupted more in the 15 to 20 year time frame and many jobs that seem a little bit complex, chef, waiter, a lot of things will become automated we'll have automated stores, automated restaurants, and all together in 15 years, that's going to displace about 40 percent of the jobs in the world.
  • Because I believe in the sanctity of our soul. I believe there is a lot of things about us that we don't understand. I believe there's a lot of love and compassion that is not explainable in terms of neural networks and computation algorithms. And I currently see no way of solving them. Obviously, unsolved problems have been solved in the past. But it would be irresponsible for me to predict that these will be solved by a certain timeframe.
Steve Bosserman

Every future we think of follows one of four narratives - 0 views

qz.com/...follows-one-of-four-narratives

future adaptation narrative history

shared by Steve Bosserman on 26 Nov 18 - No Cached
  • Journalists can’t see the future, but they are able to peer through the lens of history to better understand the present. It’s a founding principle of Retro Report, the co-producer of this series. The future may be starkly different than the present, but it’ll be easier to understand once you uncover its deep continuity with the past. The social and technical transformations we’re currently living through are profound, but this isn’t the first time rapid, singular change has occurred. Before computer networks disrupted our communications, networks of steel rails and grids of artificial light upended our very concepts of space and time, day and night. Subtract trains and light bulbs from a modern city, and how much of it is even left?
  • The future has a history. And the stories we tell about incoming change—the stories we’ve always told about such changes—fall into consistent patterns. Dator gained some of his stature in future studies with his famous observation that predictions about the future—whether they’re coming from a corporate spreadsheet, a church pulpit or Hollywood—all boil down to roughly four scenarios. Growth that keeps going. Transformation upending the past. Collapse of the present order. And  discipline imposed, in some cases, to hold such collapse at bay.
  • “Most people, through their education, and through their acculturation, are locked into a single view of the future. They have never been encouraged to think about these alternatives, or forced to think about them,” Dator says.
Steve Bosserman

'Forget the Facebook leak': China is mining data directly from workers' brains on an in... - 0 views

www.scmp.com/...g-data-directly-workers-brains

employees china brain-reading data mining surveillance

shared by Steve Bosserman on 01 May 18 - No Cached
  • The technology is in widespread use around the world but China has applied it on an unprecedented scale in factories, public transport, state-owned companies and the military to increase the competitiveness of its manufacturing industry and to maintain social stability.
  • Jin said that at present China’s brain-reading technology was on a par with that in the West but China was the only country where there had been reports of massive use of the technology in the workplace.
  • With improved speed and sensitivity, the device could even become a “mental keyboard” allowing the user to control a computer or mobile phone with their mind.
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  • Qiao Zhian, professor of management psychology at Beijing Normal University, said that while the devices could make businesses more competitive the technology could also be abused by companies to control minds and infringe privacy, raising the spectre of “thought police”.
  • “There is no law or regulation to limit the use of this kind of equipment in China. The employer may have a strong incentive to use the technology for higher profit, and the employees are usually in too weak a position to say no,” he said.
  • Lawmakers should act now to limit the use of emotion surveillance and give workers more bargaining power to protect their interests, Qiao said. “The human mind should not be exploited for profit,” he said.
Steve Bosserman

Will AI replace Humans? - FutureSin - Medium - 0 views

medium.com/...ai-replace-humans-42c19c114cb8

humans robotics artificial intelligence

shared by Steve Bosserman on 26 Apr 18 - No Cached
  • According to the World Economic Forum’s Future of Jobs report, some jobs will be wiped out, others will be in high demand, but all in all, around 5 million jobs will be lost. The real question is then, how many jobs will be made redundant in the 2020s? Many futurists including Google’s Chief Futurist believe this will necessitate a universal human stipend that could become globally ubiquitous as early as the 2030s.
  • AI will optimize many of our systems, but also create new jobs. We don’t know the rate at which it will do this. Research firm Gartner further confirms the hypothesis of AI creating more jobs than it replaces, by predicting that in 2020, AI will create 2.3 million new jobs while eliminating 1.8 million traditional jobs.
  • In an era where it’s being shown we can’t even regulate algorithms, how will we be able to regulate AI and robots that will progressively have a better capacity to self-learn, self-engineer, self-code and self-replicate? This first wave of robots are simply robots capable of performing repetitive tasks, but as human beings become less intelligent trapped in digital immersion, the rate at which robots learn how to learn will exponentially increase.How do humans stay relevant when Big Data enables AI to comb through contextual data as would a supercomputer? Data will no longer be the purvey of human beings, neither medical diagnosis and many other things. To say that AI “augments” human in this respect, is extremely naive and hopelessly optimistic. In many respects, AI completely replaces the need for human beings. This is what I term the automation economy.
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  • If China, Russia and the U.S. are in a race for AI supremacy, the kind of manifestations of AI will be so significant, they could alter the entire future of human civilization.
  • THE EXPONENTIAL THREATFrom drones, to nanobots to 3D-printing, automation could lead to unparalleled changes to how we live and work. In spite of the increase in global GDP, most people’s quality of living is not likely to see the benefit as it will increasingly be funneled into the pockets of the 1%. Capitalism then, favors the development of an AI that’s fundamentally exploitative to the common global citizen.Just as we exchanged our personal data for convenience and the illusion of social connection online, we will barter convenience for a world a global police state where social credit systems and AI decide how much of a “human stipend” (basic income) we receive. Our poverty or the social privilege we are born into, may have a more obscure relationship to a global system where AI monitors every aspect of our lives.Eventually AI will itself be the CEOs, inventors, master engineers and creator of more efficient robots. That’s when we will know that AI has indeed replaced human beings. What will Google’s DeepMind be able to do with the full use of next-gen quantum computing and supercomputers?
  • Artificial Intelligence Will Replace HumansTo argue that AI and robots and 3D-printing and any other significant technology won’t impact and replace many human jobs, is incredibly irresponsible.That’s not to say humans won’t adapt, and even thrive in more creative, social and meaningful work!That AI replacing repetitive tasks is a good thing, can hardly be denied. But will it benefit all globally citizens equally? Will ethics, common sense and collective pragmatism and social inclusion prevail over profiteers?Will younger value systems such as decentralization and sustainable living thrive with the advances of artificial intelligence?Will human beings be able to find sufficient meaning in a life where many of them won’t have a designated occupation to fill their time?These are the question that futurists like me ponder, and you should too.
Steve Bosserman

Science has outgrown the human mind and its limited capacities | Aeon Ideas - 0 views

aeon.co/...ind-and-its-limited-capacities

models artificial intelligence machine learning data mining

shared by Steve Bosserman on 25 Apr 17 - No Cached
  • Human minds simply cannot reconstruct highly complex natural phenomena efficiently enough in the age of big data. A modern Baconian method that incorporates reductionist ideas through data-mining, but then analyses this information through inductive computational models, could transform our understanding of the natural world. Such an approach would enable us to generate novel hypotheses that have higher chances of turning out to be true, to test those hypotheses, and to fill gaps in our knowledge. It would also provide a much-needed reminder of what science is supposed to be: truth-seeking, anti-authoritarian, and limitlessly free.
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