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Interested in keeping up to speed with the current political moment? Our selection of political ebooks offer both intrigue and insight. Covey, and more - offer a deeper relationship with the self, whereas our curated selection of contemporary fiction helps you connect with compelling stories beyond your immediate setting. Bestselling self-improvement titles - from the likes of Mark Manson, Rachel Hollis, Stephen R.

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A secondary audience is people with a technical background who want to explore the larger social and societal impact of their work.ĭieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.Our extensive selection of bestselling ebooks truly has something for everyone. Who This Book is For People who don't have a technical background (in data, computers, etc.) but who would like to learn how algorithms impact society business leaders who want to know the powers and perils of relying on artificial intelligence.

The algorithmic tools available to help with automated fact-checking and truth-detection.

The state-of-the-art capabilities of AI-powered text generation (GPT-3) and video synthesis/doctoring (deepfakes) and how these technologies have been used so far.

The history and inner-workings of YouTube's recommendation algorithm.

The ways that data labeling and storage impact machine learning and how feedback loops can occur.

Don't be afraid: with this book you'll see the remedies and technical solutions that are being applied to oppose these harmful trends. The way data is collected, labelled, and stored has a big impact on the machine learning algorithms that are trained on it, and this is a main source of algorithmic bias - which gets amplified in harmful data feedback loops. From news aggregators to Google searches to YouTube recommendations to Facebook news feeds, the way we obtain information today is filtered through the lens of tech giant algorithms. How Algorithms Create and Prevent Fake News is an accessible, broad account of the various ways that data-driven algorithms have been distorting reality and rendering the truth harder to grasp. In doing so, it weaves together the human stories and what's at stake here, a simplified technical background on how these algorithms work, and an accessible survey of the research literature exploring these various topics. This book tells the stories of this algorithmic battle for the truth and how it impacts individuals and society at large. Success in the modern business world requires you to understand these algorithmic currents, and to recognize the strengths, limits, and impacts of deep learning-especially when it comes to discerning the truth and differentiating fact from fiction. On the other hand, remarkable methods are being developed to help automate fact-checking and the detection of fake news and doctored media. 'By explaining the flaws and foibles of everything from Google search to QAnon-and by providing level-headed evaluations of efforts to fix them-Noah Giansiracusa offers the perfect starting point for anyone entering the maze of modern digital media.' -Jonathan Rauch, senior fellow at the Brookings Institute and contributing editor of The Atlantic From deepfakes to GPT-3, deep learning is now powering a new assault on our ability to tell what's real and what's not, bringing a whole new algorithmic side to fake news. There is no better guide to the strategies and stakes of this battle for the future.' -Paul Romer, Nobel Laureate, University Professor in Economics at NYU, and former Chief Economist at the World Bank.

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'It's a joy to read a book by a mathematician who knows how to write.