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Bill Fulkerson

Anatomy of an AI System - 1 views

shared by Bill Fulkerson on 14 Sep 18 - No Cached
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    "With each interaction, Alexa is training to hear better, to interpret more precisely, to trigger actions that map to the user's commands more accurately, and to build a more complete model of their preferences, habits and desires. What is required to make this possible? Put simply: each small moment of convenience - be it answering a question, turning on a light, or playing a song - requires a vast planetary network, fueled by the extraction of non-renewable materials, labor, and data. The scale of resources required is many magnitudes greater than the energy and labor it would take a human to operate a household appliance or flick a switch. A full accounting for these costs is almost impossible, but it is increasingly important that we grasp the scale and scope if we are to understand and govern the technical infrastructures that thread through our lives. III The Salar, the world's largest flat surface, is located in southwest Bolivia at an altitude of 3,656 meters above sea level. It is a high plateau, covered by a few meters of salt crust which are exceptionally rich in lithium, containing 50% to 70% of the world's lithium reserves. 4 The Salar, alongside the neighboring Atacama regions in Chile and Argentina, are major sites for lithium extraction. This soft, silvery metal is currently used to power mobile connected devices, as a crucial material used for the production of lithium-Ion batteries. It is known as 'grey gold.' Smartphone batteries, for example, usually have less than eight grams of this material. 5 Each Tesla car needs approximately seven kilograms of lithium for its battery pack. 6 All these batteries have a limited lifespan, and once consumed they are thrown away as waste. Amazon reminds users that they cannot open up and repair their Echo, because this will void the warranty. The Amazon Echo is wall-powered, and also has a mobile battery base. This also has a limited lifespan and then must be thrown away as waste. According to the Ay
Steve Bosserman

For better AI, diversify the people building it - 0 views

  • Lyons announced the Partnership on AI’s first three working groups, which are dedicated to fair, transparent, and accountable AI; safety-critical AI; and AI, labor, and the economy. Each group will have a for-profit and nonprofit chair and aim to share its results as widely as possible. Lyons says these groups will be like a “union of concerned scientists.” “A big part of this is on us to really achieve inclusivity,” she says. Tess Posner, the executive director of AI4ALL, a nonprofit that runs summer programs teaching AI to students from underrepresented groups, showed why training a diverse group for the next generation of AI workers is essential. Currently, only 13 percent of AI companies have female CEOs, and less than 3 percent of tenure-track engineering faculty in the US are black. Yet an inclusive workforce may have more ideas and can spot problems with systems before they happen, and diversity can improve the bottom line. Posner pointed out a recent Intel report saying diversity could add $500 billion to the US economy.
  • “It’s good for business,” she says. These weren’t the first presentations at EmTech Digital by women with ideas on fixing AI. On Monday, Microsoft researcher Timnit Gebru presented examples of bias in current AI systems, and earlier on Tuesday Fast.ai cofounder Rachel Thomas talked about her company’s free deep-learning course and its effort to diversify the overall AI workforce. Even with the current problems achieving diversity, there are more women and people of color that could be brou
  • ght into the workforce.
Steve Bosserman

AI, automation, and the future of work: Ten things to solve for - 0 views

  • Automation and artificial intelligence (AI) are transforming businesses and will contribute to economic growth via contributions to productivity. They will also help address “moonshot” societal challenges in areas from health to climate change.
  • At the same time, these technologies will transform the nature of work and the workplace itself. Machines will be able to carry out more of the tasks done by humans, complement the work that humans do, and even perform some tasks that go beyond what humans can do. As a result, some occupations will decline, others will grow, and many more will change.
  • While we believe there will be enough work to go around (barring extreme scenarios), society will need to grapple with significant workforce transitions and dislocation. Workers will need to acquire new skills and adapt to the increasingly capable machines alongside them in the workplace. They may have to move from declining occupations to growing and, in some cases, new occupations.
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  • This executive briefing, which draws on the latest research from the McKinsey Global Institute, examines both the promise and the challenge of automation and AI in the workplace and outlines some of the critical issues that policy makers, companies, and individuals will need to solve for.
Steve Bosserman

The Booming Industry Emerging From Louisiana's Vanishing Coast | Fast Forward | OZY - 0 views

  • According to a 2016 study by the nonprofit Greater New Orleans, this fledgling water workforce will grow by more than 20 percent over the next 10 years, creating more than 13,600 snazzy new titles like conservation technician, civil engineer and environmental scientist that pay an average of $69,277, well above the national average salary. “Louisiana is one of the first to turn the issue of climate change from an environmental one to an existential and economic one … through the cutting-edge jobs of the future,” claims Greater New Orleans’ executive vice president and chief operating officer Robin Barnes. Which is the city’s way of putting up a NOW HIRING billboard.
  • Meanwhile, troubled coastal cities around the world are taking note, says Bren Haase, head of planning for the Coastal Protection and Restoration Authority. With a playbook in place, Louisiana already boasts a 50-year, $50 billion plan to rebuild the state’s coasts, one that’s grounded in decades of data and science; it’s also being translated into several languages, including Vietnamese, Spanish and French, for other countries to reference. Flush with billions of dollars from the settlement in the catastrophic BP oil spill, the Coastal Master Plan could hold key clues for other places facing a similar fate in the future, says Haase, including flood-risk areas like New York, London, Singapore and Kiribati. Moreover, Louisiana’s coastal restoration sector is fueling high-tech projects like artificial oyster reef creation, advanced hydrologic modeling and geosynthetics, which will help shore up the state’s defenses against behemoth hurricanes and oil spills.
Steve Bosserman

AI and automation are about to implode blue collar jobs - 0 views

  • Lots of high-minded technological thinkers, particularly Elon Musk, have proposed a universal basic income, a form of wealth distribution that ensures every citizen receives a baseline income whether or not they are employed, as a likely solution to the problem of workforce automation. But the White House report takes a more somber approach, describing a basic income as “giving up on the possibility of workers’ remaining employed.” Instead, the report suggests a number of policy proposals (like Obama’s national free community college initiative, and expanded unemployment benefits) as ways of actively facilitating the transition into a more AI driven economy.
Steve Bosserman

Here's why robots are making income inequality even worse - 0 views

  • Automation has not triggered mass unemployment, despite concerns about increasingly-realistic innovations like driverless trucks and ATMs that can handle mortgages. But already, around the edges, robots are on the rise — creating cost savings that benefit corporations and Americans who run businesses. These benefits are increasingly going to a small group at the top.In fact, the income gap between the super rich and middle class has also increased at a rapid clip — by $58,800 between 2010 and 2015, as Bloomberg reported. And within the middle class itself, the gap between upper and lower middle class grew by $9,000.
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