Podcast appearances and mentions of alex rosenblat

Alex Rosenblat is particularly careful when it comes to her digital privacy. She requests to fill out paper forms instead of digital ones; she documents and tracks what she signs. But even her diligence can't always save her. Rosenblat recently spent months retracing her digital steps after Phreesia, a company that collects demographic information, claimed to have her authorization to share her data — authorization she knew she hadn't consented to. This week, Rosenblat talks to host and editor Torie Bosch about tracking down her own information and the amorphous harm caused by invasions of privacy.

Jeremy Howard is a data scientist, researcher, developer, educator, and entrepreneur. Jeremy is a founding researcher at fast.ai, a research institute dedicated to making deep learning more accessible. He is also a Distinguished Research Scientist at the University of San Francisco, the chair of WAMRI, and is Chief Scientist at platform.ai. In this conversation, we'll be talking about the history of data science, machine learning, and AI, where we've come from and where we're going, how new techniques can be applied to real-world problems, whether it be deep learning to medicine or porting techniques from computer vision to NLP. We'll also talk about what's present and what's missing in the ML skills revolution, what software engineering skills data scientists need to learn, how to cope in a space of such fragmented tooling, and paths for emerging out of the shadow of FAANG. If that's not enough, we'll jump into how spreading DS skills around the globe involves serious investments in education, building software, communities, and research, along with diving into the social challenges that the information age and the AI revolution (so to speak) bring with it. But to get to all of this, you'll need to listen to a few minutes of us chatting about chocolate biscuits in Australia! Links * fast.ai · making neural nets uncool again * nbdev: create delightful python projects using Jupyter Notebooks (https://github.com/fastai/nbdev) * The fastai book, published as Jupyter Notebooks (https://github.com/fastai/fastbook) * Deep Learning for Coders with fastai and PyTorch (https://www.oreilly.com/library/view/deep-learning-for/9781492045519/) * The wonderful and terrifying implications of computers that can learn (https://www.youtube.com/watch?v=t4kyRyKyOpo) -- Jeremy' awesome TED talk! * Manna (https://marshallbrain.com/manna) by Marshall Brain * Ghost Work (https://ghostwork.info/) by Mary L. Gray and Siddharth Suri * Uberland (https://www.ucpress.edu/book/9780520324800/uberland) by Alex Rosenblat

Algorithms make a wide range of morally important decisions, and many people now argue that members of the public should be more directly involved in deciding the moral tradeoffs that such systems entail. But most ideas for public or stakeholder involvement are still on the drawing board, and there are few real stories of public deliberation over the design of a morally important algorithm. This talk explores one such story.On December 4, 2014, the algorithm that allocates kidneys for transplant in the United States was replaced, following more than a decade of debate and planning. The development process was highly transparent and participatory, faced hard ethical questions explicitly, and incorporated elements of simulation and auditing that scholars often recommend. Scientist and researcher David Robinson describes how this story played out — including a twist ending — and will draw out four broader lessons to inform the design of participation strategies for other high stakes algorithms. The talk is hosted by Data & Society Senior Researcher, Alex Rosenblat.

Tech giants like Airbnb and Uber tear up the rule-books for their markets. They grow so fast that by the time competitors and regulators react, it's already too late. There's fascinating research being done into their impact and how they have reshaped society. In this, the 100th episode of the Georgian Impact Podcast, Jon Prial is joined by Alex Rosenblat, Data & Society Research Institute researcher and author of Uberland: How Algorithms are Rewriting the Rules of Work. They discuss how these companies challenge the status quo with new business models, new employment models and new ways of thinking about management. You'll hear about:How tech companies are disrupting employment models and challenging our concepts of entrepreneurshipWhat this means for the future of workThe trust challenges of managing through algorithmsAlex Rosenblat is a technology ethnographer. A researcher at the Data & Society Research Institute, she holds an MA in sociology from Queen's University and a BA in history from McGill University. Rosenblat's writing has appeared in media outlets such as the New York Times, Harvard Business Review, the Atlantic, Slate, and Fast Company. Her research has received attention worldwide and has been covered in the New York Times, the Wall Street Journal, MIT Technology Review, WIRED, New Scientist, and the Guardian. Many scholarly and professional publications have also published her prizewinning work, including the International Journal of Communication and the Columbia Law Review.

From Capitol Hill, KPFA's special correspondent Mitch Jeserich talks to Max Pringle about the current process of the impeachment inquiry against president Donald Trump. Then, a conversation about the gig economy with technology ethnographer Alex Rosenblat. She is the author of the book Uberland: How Algorithms Are Rewriting the Rules of Work. The post Live Update from Capitol Hill: The Process of the Current Impeachment Inquiry Against Donald Trump appeared first on KPFA.

What does uber tell us about work, labor management, and mobility in the post-financial crisis world? Uber’s success has been tied to its cultural resonance and on its ability to tell convincing stories about itself to drivers, passengers, and governments about what it is, who drivers are, and why they are driving. Uberland: How Algorithms are Rewriting the Rules of Work (University of California Press, 2018) goes beyond the stories of share prices and corporate intrigue to examine what work looks like and what it means for Uber drivers. The book examines the intersection of two central cultural phenomena:  fundamental shifts in what it means to be employed and the technology ideology of Silicon Valley. It does so by detailing the tension between the freedom and flexibility that Uber promises and the realities of invasive algorithmic management. It’s a well-argued and timely book – the conversation was recorded the week that California passed a bill closing some of the loopholes that have given rise to the gig economy. Alex Rosenblat is journalist, ethnographer, and research lead at the Data & Society Institute in New York. Her work has appeared in The New York Times, the Harvard Business Review, The Atlantic, Slate, Fast Company, MIT Technology Review, WIRED, New Scientist, and The Guardian as well as the International Journal of Communication and the Columbia Law Review. Jacob Doherty is a lecturer in anthropology of development at the University of Edinburgh and, most recently, the co-editor Labor Laid Waste, a special issue of International Labor and Working Class History. Learn more about your ad choices. Visit megaphone.fm/adchoices

Alex Rosenblat is a technology ethnographer and the author of Uberland: How Algorithms Are Rewriting the Rules of Work.

Welcome to Uberland, a Policy Options podcast. For passengers and drivers, Uber is either a convenient option for hailing an affordable ride or making a quick buck. But the influential technology company is also transforming labour and legal landscapes across North America. As the ride service arrives in more Canadian cities, how should policy-makers regulate its impact on workers and consumers? Alex Rosenblat joins the podcast to discuss the topic. Rosenblat is a technology ethnographer and researcher at the Data & Society Research Institute. She is the author of Uberland: How Algorithms Are Rewriting the Rules of Work. Download for free. New episodes every second Wednesday. Tweet your questions and comments to @IRPP.

Silicon Valley technology is transforming the way we work, and Uber is among the startup companies leading the charge. Technology ethnographer Alex Rosenblat lent us a wealth of firsthand perspective on the subject to share insight from her book Uberland: How Algorithms Are Rewriting the Rules of Work. She spotlighted Uber’s remarkable new template for employment using algorithms and internet platforms, upending our understanding of work in the digital age. Rosenblat chronicled 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. She highlighted Uber’s outsized influence around the world, revealing how the billion-dollar company is now influencing everything from debates about sexual harassment and transportation regulations to racial equality campaigns and labor rights initiatives. Join Rosenblat for a ride beyond the headlines to explore the complicated politics of popular technologies that are transforming the future for workers and consumers alike. Alex Rosenblat is a technology ethnographer. A researcher at the Data & Society Research Institute, she holds an MA in sociology from Queen’s University and a BA in history from McGill University. Her writing has appeared in media outlets such as the New York Times, Harvard Business Review, The Atlantic, Slate, and Fast Company. Recorded live at University Lutheran Church by Town Hall Seattle on Tuesday, November 27, 2018. 

Uber has disrupted the taxi industry around the world. But its way of doing business may be reshaping other industries. Alex Rosenblat is a technology ethnographer, a social scientist who learns from strangers and analyzes the technologies they use that shape their place in society. She took hundreds of rides with hundreds of drivers around the US. She found that drivers are not actually free-wheeling entrepreneurs but constrained workers managed and manipulated by algorithms. Her book, “Uberland: How Algorithm’s Are Rewriting the Rules of Work” explores the brave new world that Uber is shaping.

If you’ve ever taken an Uber you know that you give your driver a rating at the end of your journey. You probably know that their job depends on how good their average score is. But do you know how high that score has to be before they are essentially fired? And did you know […]

Correspondent Alex Gallo-Brown hears from Denise Hearn about the economic monoliths undermining capitalism in our nation, and the anti-worker policies running rampant in corporate culture (1:55). Chief Correspondent Steve Scher speaks with Alex Rosenblat about her research on Uber, and how its algorithms are quietly manipulating consumers while stripping drivers of their rights (14:23). Steve also sits down with Rob Reich to discuss the corrosive effect of wealthy philanthropy on modern democracy (26:57). This episode's feature highlights L.A. Kauffman who shares success stories of grassroots organizing and a swell in protesters to greater numbers than ever before in history—strong indicators that activists across the nation are willing and able to stand up for the values they hold dear (29:25). Get an insider's look and stay in the know about what's going on in this moment at Town Hall.  

Alex Rosenblat is a technology ethnographer at the Data & Society research institute. She joins hosts Peter Cappelli and Dan O'Meara (he's back from the spa!) on this episode to discuss the effects on companies of algorithms aiding or sometimes, in companies like Uber, dominating employee management.Learn More about Alex + Data & Society:https://datasociety.net/people/rosenblat-alex/ See acast.com/privacy for privacy and opt-out information.

Karen Ubelhart, Bloomberg Intelligence Industrials Analyst, and Joe Deaux, Bloomberg News Metals & Mining Reporter, talk about Caterpillar’s sales growth slowing in the third quarter and the comments of the company’s CFO Andrew Bonfield.Noah Buhayar, Bloomberg News Finance Reporter, discusses his story in Businessweek Magazine story on how sky-high housing prices in California are driving residents to other Western states.Aaron Kennon, CEO at Clear Harbor Asset Management, explains handling geopolitical “noise” in the markets. Alex Rosenblat, Researcher at Data & Society, talks about her book "Uberland: How Algorithms are Rewriting the Rules of Work.” And we Drive to the Close of the market with John Buckingham, CIO at AL Frank Asset Management.  

Karen Ubelhart, Bloomberg Intelligence Industrials Analyst, and Joe Deaux, Bloomberg News Metals & Mining Reporter, talk about Caterpillar's sales growth slowing in the third quarter and the comments of the company's CFO Andrew Bonfield.Noah Buhayar, Bloomberg News Finance Reporter, discusses his story in Businessweek Magazine story on how sky-high housing prices in California are driving residents to other Western states.Aaron Kennon, CEO at Clear Harbor Asset Management, explains handling geopolitical “noise” in the markets. Alex Rosenblat, Researcher at Data & Society, talks about her book "Uberland: How Algorithms are Rewriting the Rules of Work.” And we Drive to the Close of the market with John Buckingham, CIO at AL Frank Asset Management.   Learn more about your ad-choices at https://www.iheartpodcastnetwork.com

Journalist Sarah Kessler discusses her new book "Gigged: The End of the Job and the Future of Work." Kessler shares her analysis of the perils and promises of the platform gig economy in conversation with Data & Society's Alex Rosenblat, researcher and author of the forthcoming book "Uberland: How Algorithms Are Rewriting the Rules of Work" (October 23, 2018) and Aiha Nguyen, Social Instabilities in Labor Futures Engagement Lead. One in three American workers is now a freelancer. This “gig economy”―one that provides neither the guarantee of steady hours nor benefits―emerged out of the digital era and has revolutionized the way we do business. High-profile tech start-ups such as Uber and Airbnb are constantly making headlines for the “disruption” they cause to the industries they overturn. But “disruption” introduces new challenges to employees and job-seekers who seek to navigate platform policies, ensure workplace safety, and hedge against instability. Join us for a timely discussion on the quest to find meaningful, well-paid work as technology increasingly destabilizes and transforms the future of labor. Sarah Kessler is a journalist based in New York City. She is the author of Gigged: The End of the Job and the Future of Work and an editor at Quartz. Previously, she covered the gig economy as a senior writer at Fast Company and managed startup coverage at Mashable. Her reporting has been cited by The Washington Post, New York Magazine, and NPR. The Future of Labor research initiative at Data & Society seeks to better understand emergent disruptions in the labor force as a result of data-centric technological development, with a special focus on structural inequalities. Its team recently released the report Beyond Disruption: How Tech Shapes Labor Across Domestic Work & Ridehailing–as featured in the New York Times, NPR All Things Considered, and The Nation.

Legendary critical theorist Nancy Fraser argues that a total analysis of capitalism requires taking Marxism beyond a narrowly economistic view. Throughout its history, capitalism has been defined not just by labor exploitation but also by the disavowal of that exploitation's own basic conditions of possibility: the things that the daily business of labor exploitation and surplus-value appropriation require from politics, care work, war-making, mining, patriarchy, racism, and more. Thanks to Verso Books, which has loads of great left-wing titles at www.versobooks.com. And thanks to University of California Press. Check out Uberland: How Algorithms Are Rewriting the Rules of Work by Alex Rosenblat ucpress.edu/book/9780520298576/uberland. Please support this podcast with your money at Patreon.com/TheDig!