Uberland: How Algorithms Are Rewriting the Rules of Work
- Forfatter
- Indlæser
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- 28 Bedømmelse
3.6
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- 7T 28M
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- Engelsk
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Økonomi & Business
Silicon Valley technology is transforming the way we work, and Uber is leading the charge. An American startup that promised to deliver entrepreneurship for the masses through its technology, Uber instead built a new template for employment using algorithms and internet platforms. Upending our understanding of work in the digital age, Uberland paints a future where any of us might be managed by a faceless boss.
The neutral language of technology masks the powerful influence algorithms have across the New Economy. Uberland chronicles the stories of drivers in more than twenty-five cities in the United States and Canada over four years, shedding light on their working conditions and providing a window into how they feel behind the wheel. The book also explores Uber's outsized influence around the world: the billion-dollar company is now influencing everything from debates about sexual harassment and transportation regulations to racial equality campaigns and labor rights initiatives.
Based on award-winning technology ethnographer Alex Rosenblat's firsthand experience of riding over 5,000 miles with Uber drivers, daily visits to online forums, and face-to-face discussions with senior Uber employees, Uberland goes beyond the headlines to reveal the complicated politics of popular technologies that are manipulating both workers and consumers.
© 2018 Ascent Audio (Lydbog): 9781469070186
Udgivelsesdato
Lydbog: 23. oktober 2018
Bøger, der ligner Uberland: How Algorithms Are Rewriting the Rules of Work
- The Formula: How Algorithms Solve all our Problems... and Create More Luke Dormehl
- Computational Thinking Peter J. Denning, Matti Tedre
- Maths on the Back of an Envelope: Clever ways to (roughly) calculate anything Rob Eastaway
- Big Data Revolution: What farmers, doctors and insurance agents teach us about discovering big data patterns Rob Thomas, Patrick McSharry
- Standard Deviations: Flawed Assumptions, Tortured Data, and Other Ways to Lie with Statistics Gary Smith
- GDP: The World’s Most Powerful Formula and Why it Must Now Change Ehsan Masood
- The Technology Trap: Capital, Labor, and Power in the Age of Automation Carl Benedikt Frey
- Automate This: How Algorithms Came to Rule Our World Christopher Steiner
- Ten Short Lessons in Artificial Intelligence and Robotics Peter J. Bentley
- The Deep Learning Revolution Terrence J. Sejnowski
- Fluke: The Math and Myth of Coincidence Joseph Mazur
- The Delusions Of Crowds: Why People Go Mad in Groups William J. Bernstein
- ColdFusion Presents: New Thinking: New Thinking: From Einstein to Artificial Intelligence, the Science and Technology that Transformed Our World Dagogo Altraide
- Arriving Today: From Factory to Front Door: Why Everything Has Changed About How and What We Buy Christopher Mims
- The Third Pillar: The Revival of Community in a Polarised World Raghuram Rajan
- Big Data: How the Information Revolution Is Transforming Our Lives Brian Clegg
- New Laws of Robotics: Defending Human Expertise in the Age of AI Frank Pasquale
- Artificial You: AI and the Future of Your Mind Susan Schneider
- The Future Nick Montfort
- Conformity: The Power of Social Influences Cass R. Sunstein
- The Truth Machine: The Blockchain and the Future of Everything Michael J. Casey, Paul Vigna
- Seven Ways to Change the World: How To Fix The Most Pressing Problems We Face Gordon Brown
- Data-ism: The Revolution Transforming Decision Making, Consumer Behavior, and Almost Everything Else Steve Lohr
- Radical Technologies: The Design of Everyday Life Adam Greenfield
- The Digital Silk Road: China's Quest to Wire the World and Win the Future Jonathan E. Hillman
- Once Upon an Algorithm: How Stories Explain Computing Martin Erwig
- The Infinite Machine: How an Army of Crypto-hackers Is Building the Next Internet with Ethereum Camila Russo
- Thinking Better: The Art of the Shortcut Marcus du Sautoy
- The Age of AI: Artificial Intelligence and the Future of Humanity Jason Thacker
- Mathematics for Human Flourishing Francis Su
- Too Much Information: Understanding What You Don't Want to Know: Understanding What You Don’t Want to Know Cass R. Sunstein
- Sustainability Kent E. Portnoy
- Identity Economics: How Our Identities Shape Our Work, Wages, and Well-Being George Akerlof, Rachel Kranton
- The Myth of Artificial Intelligence: Why Computers Can’t Think the Way We Do Erik J. Larson
- What Should We Be Worried About?: Real Scenarios That Keep Scientists Up at Night John Brockman
- System Error: Where Big Tech Went Wrong and How We Can Reboot Rob Reich, Jeremy M. Weinstein, Mehran Sahami
- Life After Google: The Fall of Big Data and the Rise of the Blockchain Economy George Gilder
- The History of the Future: Oculus, Facebook, and the Revolution That Swept Virtual Reality Blake J. Harris
- Cloudmoney: Cash, Cards, Crypto, and the War for Our Wallets Brett Scott
- China: The Bubble That Never Pops Thomas Orlik
- Can It Happen Here?: Authoritarianism in America Cass R. Sunstein
- Frenemies: The Epic Disruption of the Advertising Industry (and Everything Else) Ken Auletta
- This is Not Normal: The Politics of Everyday Expectations: The Politics of Everyday Expectations Cass R. Sunstein
- Viral: The Search for the Origin of Covid-19 Matt Ridley, Alina Chan
- The Ethical Algorithm: The Science of Socially Aware Algorithm Design Michael Kearns, Aaron Roth
- Things Fall Together: A Guide to the New Materials Revolution Skylar Tibbits
- Mastering Logical Fallacies: The Definitive Guide to Flawless Rhetoric and Bulletproof Logic Michael Withey
- Under the Influence: Putting Peer Pressure to Work Robert H. Frank
- Averting Catastrophe: Decision Theory for COVID-19, Climate Change, and Potential Disasters of All Kinds Cass R. Sunstein
- Risk: Why Smart People Have Dumb Accidents - And What We Can Learn From Them Steve Casner
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