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Steve Bosserman

The Fourth Industrial Revolution: Proceedings of a Workshop-in Brief - 0 views

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    The Forum's perspective on present and future technological and societal changes is captured in their 'Principled Framework for the Fourth Industrial Revolution.' Philbeck explained the four principles that characterize the Fourth Industrial Revolution. * Think systems, not technologies. Individual technologies are interesting, but it is their systemic impact that matters. Emerging technologies challenge our societal values and norms, sometimes for good, but sometimes also in negative ways; the Fourth Industrial Revolution will have civilization-changing impact-on species, on the planet, on geopolitics, and on the global economy. Philbeck suggested that wealth creation and aggregation supported by this phase of technological innovation may challenge societal commitments to accessibility, inclusivity, and fairness and create the need for relentless worker re-education. As Philbeck stated, "The costs for greater productivity are often externalized to stakeholders who are not involved in a particular technology's development." * Empowering, not determining. The Forum urges an approach to the Fourth Industrial Revolution that honors existing social principles. "We need to take a stance toward technology and technological systems that empowers society and acts counter to fatalistic and deterministic views, so that society and its agency is not nullified," said Philbeck. "Technologies are not forces; we have the ability to shape them and decide on how they are applied." * Future by design, and not by default. Seeking a future by design requires active governance. There are many types of governance-by individuals, by governments, by civic society, and by companies. Philbeck argued that failure to pay attention to critical governance questions in consideration of the Fourth Industrial Revolution means societies are likely to allow undemocratic, random, and potentially malicious forces to shape the future of technological systems and th
Bill Fulkerson

When models are everywhere - O'Reilly - 0 views

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    You probably interact with fifty to a hundred machine learning products every day, from your social media feeds and YouTube recommendations to your email spam filter and the updates that the New York Times, CNN, or Fox News decide to push, not to mention the hidden models that place ads on the websites you visit, and that redesign your 'experience' on the fly. Not all models are created equal, however: they operate on different principles, and impact us as individuals and communities in different ways. They differ fundamentally from each other along dimensions such as alignment of incentives between stakeholders, "creep factor", and the nature of how their feedback loops ope !L
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