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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

Chatting robots and music: Fun gadgets on display - The Columbus Dispatch, 2017-02-28 - 0 views

  • JUST ADD WATERGrowing your own veggies may become possible even for urbanites with tiny studio apartments.Israeli startup Living Box offers a modular, unfoldable, solar-powered little greenhouse that you can use to harvest anything from tomatoes to tea and herbs.“We have a slow release water system for irrigation, with a novel liquid nutrient solution and bacteria to avoid the use of pesticides, as well as an app prototype updating weather conditions and other relevant data right to your smartphone, so you don’t have to monitor it,” explained Nitzan Solan, CEO of the company.The idea was to create a sustainable, affordable and simple mobile farming system that could be operated by anyone around the globe.As of now, Living Box is testing in 50 sites around Israel, the U.S. and Nigeria, and aims to try locations in Spain and Fiji. It is expected to carry a market price of $300.
Bill Fulkerson

Behind The Magical Thinking | Center for a New American Security - 0 views

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    "Drones' greatest attraction for the national security world is that they create options where there were none - or none at a cost policymakers feel comfortable with. With a public tired of large scale military interventions, drones and other approaches that gave the U.S. options to study or intervene against security challenges in a low profile, low risk way fit perfectly into the Obama administration's comfort zone. These platforms came to symbolize and enable much of the Obama national security team's approach. But the enthusiastic embrace of drone technology, particularly in counterterrorism, left some former Obama officials questioning whether they'd been clutching a Pandora's box they should have opened more deliberately. Overall, such "light footprint" strategies generate enduring disagreements about their efficacy, risk, and oversight. Unlike any other recent military platform, drones in particular engender strong emotion - hope, revulsion, overconfidence, demonization - and magical thinking, even among those who know them best. And the attributes that make them so compelling - that they are precise, remote, sensing, and unmanned - may sometimes be too reassuring."
Bill Fulkerson

fear of genetic manipulation - 0 views

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    Given time, biology will advance to the point where things can be done that cannot be defined right now, such as changing the way people think; changing their allegiance; diseases which cannot be cured or treated or prevented; a Pandora's box," he told The Current's guest host Gillian Findlay.
Bill Fulkerson

What if the car of the future isn't a car at all? - 0 views

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    This week, Cruise, the autonomous driving startup acquired by General Motors, announced its Origin, a self-driving vehicle that purports to be what comes next after the car. The Origin looks a bit like a large metal box on wheels. It lacks pedals, a steering wheel, a trunk, or even an engine, and has doors that slide open to reveal an interior with two facing bench seats. It is intended to act as a shuttle service that drives itself. Call the Origin with an app, get to where you're going, and never own a car again. That's the idea, anyway.
Steve Bosserman

Are You Creditworthy? The Algorithm Will Decide. - 0 views

  • The decisions made by algorithmic credit scoring applications are not only said to be more accurate in predicting risk than traditional scoring methods; its champions argue they are also fairer because the algorithm is unswayed by the racial, gender, and socioeconomic biases that have skewed access to credit in the past.
  • Algorithmic credit scores might seem futuristic, but these practices do have roots in credit scoring practices of yore. Early credit agencies, for example, hired human reporters to dig into their customers’ credit histories. The reports were largely compiled from local gossip and colored by the speculations of the predominantly white, male middle class reporters. Remarks about race and class, asides about housekeeping, and speculations about sexual orientation all abounded.
  • By 1935, whole neighborhoods in the U.S. were classified according to their credit characteristics. A map from that year of Greater Atlanta comes color-coded in shades of blue (desirable), yellow (definitely declining) and red (hazardous). The legend recalls a time when an individual’s chances of receiving a mortgage were shaped by their geographic status.
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  • These systems are fast becoming the norm. The Chinese Government is now close to launching its own algorithmic “Social Credit System” for its 1.4 billion citizens, a metric that uses online data to rate trustworthiness. As these systems become pervasive, and scores come to stand for individual worth, determining access to finance, services, and basic freedoms, the stakes of one bad decision are that much higher. This is to say nothing of the legitimacy of using such algorithmic proxies in the first place. While it might seem obvious to call for greater transparency in these systems, with machine learning and massive datasets it’s extremely difficult to locate bias. Even if we could peer inside the black box, we probably wouldn’t find a clause in the code instructing the system to discriminate against the poor, or people of color, or even people who play too many video games. More important than understanding how these scores get calculated is giving users meaningful opportunities to dispute and contest adverse decisions that are made about them by the algorithm.
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