Algorithms At Work Podcast
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Working Hard, Hardly Working
THE #1 SUNDAY TIMES BESTSELLER 'Excellent.' The Times 'Offers a fresh take on how to create your own balance, be more productive and feel fulfilled in the high-pressure social media age.' Cosmopolitan, 12 BEST NEW BOOKS TO READ 'Serves some serious inspiration for the business-minded.' Bustle, TOP DEBUT BOOKS OF 2021 'Pinpoints and unpacks the confusing and impossible messages we are all fed about modern work, how we are supposedly meant to be "nailing" all areas of our life all at once.' Emma Gannon ________________ We all know the pressure of feeling like we should be grinding 24/7 while simultaneously being told that we should 'just relax' and take care of ourselves, like we somehow have to decide between success and sanity. But in today's complex working world, where every hobby can be a hustle and social media is the lens through which we view ourselves and others, this seemingly impossible choice couldn't be further from our reality. In Working Hard, Hardly Working, entrepreneur and self-proclaimed 'lazy workaholic' Grace Beverley challenges this unrealistic and unnecessary split, and offers a fresh take on how to create your own balance, be more productive and feel fulfilled. ________________ A BOOK TO HELP YOU: Create your own Productivity Method: Work smart and do more of what you love Make your routine work for you: Optimise your habits and reap the benefits Understand your value: Get into your flow and enjoy your everyday Engage in effective self-care: How stepping back can help you move forwards
The Alignment Problem: Machine Learning and Human Values
Author: Brian Christian
language: en
Publisher: W. W. Norton & Company
Release Date: 2020-10-06
"If you’re going to read one book on artificial intelligence, this is the one." —Stephen Marche, New York Times A jaw-dropping exploration of everything that goes wrong when we build AI systems and the movement to fix them. Today’s “machine-learning” systems, trained by data, are so effective that we’ve invited them to see and hear for us—and to make decisions on our behalf. But alarm bells are ringing. Recent years have seen an eruption of concern as the field of machine learning advances. When the systems we attempt to teach will not, in the end, do what we want or what we expect, ethical and potentially existential risks emerge. Researchers call this the alignment problem. Systems cull résumés until, years later, we discover that they have inherent gender biases. Algorithms decide bail and parole—and appear to assess Black and White defendants differently. We can no longer assume that our mortgage application, or even our medical tests, will be seen by human eyes. And as autonomous vehicles share our streets, we are increasingly putting our lives in their hands. The mathematical and computational models driving these changes range in complexity from something that can fit on a spreadsheet to a complex system that might credibly be called “artificial intelligence.” They are steadily replacing both human judgment and explicitly programmed software. In best-selling author Brian Christian’s riveting account, we meet the alignment problem’s “first-responders,” and learn their ambitious plan to solve it before our hands are completely off the wheel. In a masterful blend of history and on-the ground reporting, Christian traces the explosive growth in the field of machine learning and surveys its current, sprawling frontier. Readers encounter a discipline finding its legs amid exhilarating and sometimes terrifying progress. Whether they—and we—succeed or fail in solving the alignment problem will be a defining human story. The Alignment Problem offers an unflinching reckoning with humanity’s biases and blind spots, our own unstated assumptions and often contradictory goals. A dazzlingly interdisciplinary work, it takes a hard look not only at our technology but at our culture—and finds a story by turns harrowing and hopeful.
Podcast Studies
Author: Lori Beckstead
language: en
Publisher: Wilfrid Laurier Univ. Press
Release Date: 2025-01-21
Podcast Studies: Practice into Theory critically examines the emergent field of podcasting in academia, revealing its significant impact on scholarly communication and approaches to research and knowledge creation. This collection presents in-depth analyses from scholars who have integrated podcasting into their academic pursuits. The book systematically explores the medium's implications for teaching, its effectiveness in reaching broader audiences, and its role in reshaping the dissemination of academic work. Covering a spectrum of disciplines, the contributors detail their engagement with podcasting, providing insight into its use as both a research tool and an object of analysis, thereby illuminating the multifaceted ways in which podcasting intersects with and influences academic life. The volume provides substantive evidence of podcasting's transformative effect on academia, offering reflections on its potential to facilitate a more accessible and engaging form of scholarly output. By presenting case studies and empirical research, Podcast Studies: Practice into Theory underscores the originality of podcasting as an academic endeavor and its utility in expanding the reach and impact of scholarly work. It serves as a key resource for academics, researchers, and practitioners interested in the application and study of podcasting as a novel vector for knowledge creation and distribution.