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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

An ex-military contractor working for Google X collapsed on the job, and his coworkers ... - 0 views

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    "From the testers' point of view, they had loads of experience with sophisticated aircraft. They wanted clear rules, better safety protocols, and reasonable work expectations from the Project Wing managers. At the same time, some members of the flight-testing crew felt like their expertise on how to accomplish their mission was being dismissed, people told us. In contrast, some of the team's managers felt as if the crew's skills with combat aeroplanes and military drones made them somewhat overqualified and their ideas overkill for the task at hand, according to a person close to the company. It was a disconnect between two groups with very different mentalities about how to get things done."
Bill Fulkerson

A robotic revolution for urban nature - 0 views

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    Drones, robots and autonomous systems can transform the natural world in and around cities for people and wildlife.
Steve Bosserman

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

  • 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

Teaching an Algorithm to Understand Right and Wrong - 0 views

  • The rise of artificial intelligence is forcing us to take abstract ethical dilemmas much more seriously because we need to code in moral principles concretely. Should a self-driving car risk killing its passenger to save a pedestrian? To what extent should a drone take into account the risk of collateral damage when killing a terrorist? Should robots make life-or-death decisions about humans at all? We will have to make concrete decisions about what we will leave up to humans and what we will encode into software.
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