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YA Book Club POSTPONED! Due to unforeseen circumstances, we have had to cancel this Saturday's YA book club meeting. We will reschedule and post it here and on our social media as soon as we can. 

Technology

10 ARGUMENTS FOR DELETING YOUR

10 ARGUMENTS FOR DELETING YOUR

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AS SEEN IN THE NETFLIX DOCUMENTARY THE SOCIAL DILEMMA
A WIRED ALL-TIME FAVORITE BOOK
A FINANCIAL TIMES BEST BOOK
THE CONSCIENCE OF SILICON VALLEY- GQ

"Profound . . . Lanier shows the tactical value of appealing to the conscience of the individual. In the face of his earnest argument, I felt a piercing shame about my own presence on Facebook. I heeded his plea and deleted my account."
- Franklin Foer, The New York Times Book Review

"Mixes prophetic wisdom with a simple practicality . . . Essential reading."
- The New York Times (Summer Reading Preview)

You might have trouble imagining life without your social media accounts, but virtual reality pioneer Jaron Lanier insists that we're better off without them. In Ten Arguments for Deleting Your Social Media Accounts Right Now, Lanier, who participates in no social media, offers powerful and personal reasons for all of us to leave these dangerous online platforms.

Lanier's reasons for freeing ourselves from social media's poisonous grip include its tendency to bring out the worst in us, to make politics terrifying, to trick us with illusions of popularity and success, to twist our relationship with the truth, to disconnect us from other people even as we are more "connected" than ever, to rob us of our free will with relentless targeted ads. How can we remain autonomous in a world where we are under continual surveillance and are constantly being prodded by algorithms run by some of the richest corporations in history that have no way of making money other than being paid to manipulate our behavior? How could the benefits of social media possibly outweigh the catastrophic losses to our personal dignity, happiness, and freedom? Lanier remains a tech optimist, so while demonstrating the evil that rules social media business models today, he also envisions a humanistic setting for social networking that can direct us toward a richer and fuller way of living and connecting with our world.

ALGORITHMS OF OPPRESSION: HOW

ALGORITHMS OF OPPRESSION: HOW

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A revealing look at how negative biases against women of color are embedded in search engine results and algorithms

Run a Google search for "black girls"-what will you find? "Big Booty" and other sexually explicit terms are likely to come up as top search terms. But, if you type in "white girls," the results are radically different. The suggested porn sites and un-moderated discussions about "why black women are so sassy" or "why black women are so angry" presents a disturbing portrait of black womanhood in modern society.

In Algorithms of Oppression, Safiya Umoja Noble challenges the idea that search engines like Google offer an equal playing field for all forms of ideas, identities, and activities. Data discrimination is a real social problem; Noble argues that the combination of private interests in promoting certain sites, along with the monopoly status of a relatively small number of Internet search engines, leads to a biased set of search algorithms that privilege whiteness and discriminate against people of color, specifically women of color.

Through an analysis of textual and media searches as well as extensive research on paid online advertising, Noble exposes a culture of racism and sexism in the way discoverability is created online. As search engines and their related companies grow in importance-operating as a source for email, a major vehicle for primary and secondary school learning, and beyond-understanding and reversing these disquieting trends and discriminatory practices is of utmost importance.

An original, surprising and, at times, disturbing account of bias on the internet, Algorithms of Oppression contributes to our understanding of how racism is created, maintained, and disseminated in the 21st century.

ART OF INVISIBILITY

ART OF INVISIBILITY

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Real-world advice on how to be invisible online from "the FBI's most wanted hacker" (Wired).

Be online without leaving a trace. Your every step online is being tracked and stored, and your identity literally stolen. Big companies and big governments want to know and exploit what you do, and privacy is a luxury few can afford or understand.

In this explosive yet practical book, Kevin Mitnick uses true-life stories to show exactly what is happening without your knowledge, teaching you "the art of invisibility" -- online and real-world tactics to protect you and your family, using easy step-by-step instructions.

Reading this book, you will learn everything from password protection and smart Wi-Fi usage to advanced techniques designed to maximize your anonymity. Kevin Mitnick knows exactly how vulnerabilities can be exploited and just what to do to prevent that from happening.

The world's most famous -- and formerly the US government's most wanted -- computer hacker, he has hacked into some of the country's most powerful and seemingly impenetrable agencies and companies, and at one point was on a three-year run from the FBI. Now Mitnick is reformed and widely regarded as the expert on the subject of computer security. Invisibility isn't just for superheroes; privacy is a power you deserve and need in the age of Big Brother and Big Data.

"Who better than Mitnick -- internationally wanted hacker turned Fortune 500 security consultant -- to teach you how to keep your data safe?" --Esquire

ARTIFICIAL UNINTELLIGENCE

ARTIFICIAL UNINTELLIGENCE

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A guide to understanding the inner workings and outer limits of technology and why we should never assume that computers always get it right.

In Artificial Unintelligence, Meredith Broussard argues that our collective enthusiasm for applying computer technology to every aspect of life has resulted in a tremendous amount of poorly designed systems. We are so eager to do everything digitally--hiring, driving, paying bills, even choosing romantic partners--that we have stopped demanding that our technology actually work. Broussard, a software developer and journalist, reminds us that there are fundamental limits to what we can (and should) do with technology. With this book, she offers a guide to understanding the inner workings and outer limits of technology--and issues a warning that we should never assume that computers always get things right.

Making a case against technochauvinism--the belief that technology is always the solution--Broussard argues that it's just not true that social problems would inevitably retreat before a digitally enabled Utopia. To prove her point, she undertakes a series of adventures in computer programming. She goes for an alarming ride in a driverless car, concluding "the cyborg future is not coming any time soon"; uses artificial intelligence to investigate why students can't pass standardized tests; deploys machine learning to predict which passengers survived the Titanic disaster; and attempts to repair the U.S. campaign finance system by building AI software. If we understand the limits of what we can do with technology, Broussard tells us, we can make better choices about what we should do with it to make the world better for everyone.

BLACK SOFTWARE: THE INTERNET &

BLACK SOFTWARE: THE INTERNET &

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Activists, pundits, politicians, and the press frequently proclaim today's digitally mediated racial justice activism the new civil rights movement. As Charlton D. McIlwain shows in this book, the story of racial justice movement organizing online is much longer and varied than most people
know. In fact, it spans nearly five decades and involves a varied group of engineers, entrepreneurs, hobbyists, journalists, and activists. But this is a history that is virtually unknown even in our current age of Google, Facebook, Twitter, and Black Lives Matter.

Beginning with the simultaneous rise of civil rights and computer revolutions in the 1960s, McIlwain, for the first time, chronicles the long relationship between African Americans, computing technology, and the Internet. In turn, he argues that the forgotten figures who worked to make black
politics central to the Internet's birth and evolution paved the way for today's explosion of racial justice activism. From the 1960s to present, the book examines how computing technology has been used to neutralize the threat that black people pose to the existing racial order, but also how black
people seized these new computing tools to build community, wealth, and wage a war for racial justice.Through archival sources and the voices of many of those who lived and made this history, Black Software centralizes African Americans' role in the Internet's creation and evolution, illuminating
both the limits and possibilities for using digital technology to push for racial justice in the United States and across the globe.

BLOCKCHAIN CHICKEN FARM: AND O

BLOCKCHAIN CHICKEN FARM: AND O

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A New York Times Book Review Editors' Choice

A brilliant and empathetic guide to the far corners of global capitalism. --Jenny Odell, author of How to Do Nothing

From FSGO x Logic: stories about rural China, food, and tech that reveal new truths about the globalized world

In Blockchain Chicken Farm, the technologist and writer Xiaowei Wang explores the political and social entanglements of technology in rural China. Their discoveries force them to challenge the standard idea that rural culture and people are backward, conservative, and intolerant. Instead, they find that rural China has not only adapted to rapid globalization but has actually innovated the technology we all use today.

From pork farmers using AI to produce the perfect pig, to disruptive luxury counterfeits and the political intersections of e-commerce villages, Wang unravels the ties between globalization, technology, agriculture, and commerce in unprecedented fashion. Accompanied by humorous "Sinofuturist" recipes that frame meals as they transform under new technology, Blockchain Chicken Farm is an original and probing look into innovation, connectivity, and collaboration in the digitized rural world.

FSG Originals × Logic dissects the way technology functions in everyday lives. The titans of Silicon Valley, for all their utopian imaginings, never really had our best interests at heart: recent threats to democracy, truth, privacy, and safety, as a result of tech's reckless pursuit of progress, have shown as much. We present an alternate story, one that delights in capturing technology in all its contradictions and innovation, across borders and socioeconomic divisions, from history through the future, beyond platitudes and PR hype, and past doom and gloom. Our collaboration features four brief but provocative forays into the tech industry's many worlds, and aspires to incite fresh conversations about technology focused on nuanced and accessible explorations of the emerging tools that reorganize and redefine life today.

COMPUTATIONAL THINKING

COMPUTATIONAL THINKING

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An introduction to computational thinking that traces a genealogy beginning centuries before the digital computer.

A few decades into the digital era, scientists discovered that thinking in terms of computation made possible an entirely new way of organizing scientific investigation; eventually, every field had a computational branch: computational physics, computational biology, computational sociology. More recently, "computational thinking" has become part of the K-12 curriculum. But what is computational thinking? This volume in the MIT Press Essential Knowledge series offers an accessible overview, tracing a genealogy that begins centuries before digital computers and portraying computational thinking as pioneers of computing have described it.

The authors explain that computational thinking (CT) is not a set of concepts for programming; it is a way of thinking that is honed through practice: the mental skills for designing computations to do jobs for us, and for explaining and interpreting the world as a complex of information processes. Mathematically trained experts (known as "computers") who performed complex calculations as teams engaged in CT long before electronic computers. The authors identify six dimensions of today's highly developed CT--methods, machines, computing education, software engineering, computational science, and design--and cover each in a chapter. Along the way, they debunk inflated claims for CT and computation while making clear the power of CT in all its complexity and multiplicity.

CULT OF THE DEAD COW: HOW THE

CULT OF THE DEAD COW: HOW THE

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The shocking untold story of the elite secret society of hackers fighting to protect our privacy, our freedom -- even democracy itself
Cult of the Dead Cow is the tale of the oldest, most respected, and most famous American hacking group of all time. Though until now it has remained mostly anonymous, its members invented the concept of hacktivism, released the top tool for testing password security, and created what was for years the best technique for controlling computers from afar, forcing giant companies to work harder to protect customers. They contributed to the development of Tor, the most important privacy tool on the net, and helped build cyberweapons that advanced US security without injuring anyone. With its origins in the earliest days of the Internet, the cDc is full of oddball characters -- activists, artists, even future politicians. Many of these hackers have become top executives and advisors walking the corridors of power in Washington and Silicon Valley. The most famous is former Texas Congressman and current presidential candidate Beto O'Rourke, whose time in the cDc set him up to found a tech business, launch an alternative publication in El Paso, and make long-shot bets on unconventional campaigns.
Today, the group and its followers are battling electoral misinformation, making personal data safer, and battling to keep technology a force for good instead of for surveillance and oppression. Cult of the Dead Cow shows how governments, corporations, and criminals came to hold immense power over individuals and how we can fight back against them.

DATA SCIENCE

DATA SCIENCE

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A concise introduction to the emerging field of data science, explaining its evolution, relation to machine learning, current uses, data infrastructure issues, and ethical challenges.

The goal of data science is to improve decision making through the analysis of data. Today data science determines the ads we see online, the books and movies that are recommended to us online, which emails are filtered into our spam folders, and even how much we pay for health insurance. This volume in the MIT Press Essential Knowledge series offers a concise introduction to the emerging field of data science, explaining its evolution, current uses, data infrastructure issues, and ethical challenges.

It has never been easier for organizations to gather, store, and process data. Use of data science is driven by the rise of big data and social media, the development of high-performance computing, and the emergence of such powerful methods for data analysis and modeling as deep learning. Data science encompasses a set of principles, problem definitions, algorithms, and processes for extracting non-obvious and useful patterns from large datasets. It is closely related to the fields of data mining and machine learning, but broader in scope. This book offers a brief history of the field, introduces fundamental data concepts, and describes the stages in a data science project. It considers data infrastructure and the challenges posed by integrating data from multiple sources, introduces the basics of machine learning, and discusses how to link machine learning expertise with real-world problems. The book also reviews ethical and legal issues, developments in data regulation, and computational approaches to preserving privacy. Finally, it considers the future impact of data science and offers principles for success in data science projects.

DEEP LEARNING

DEEP LEARNING

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An accessible introduction to the artificial intelligence technology that enables computer vision, speech recognition, machine translation, and driverless cars.

Deep learning is an artificial intelligence technology that enables computer vision, speech recognition in mobile phones, machine translation, AI games, driverless cars, and other applications. When we use consumer products from Google, Microsoft, Facebook, Apple, or Baidu, we are often interacting with a deep learning system. In this volume in the MIT Press Essential Knowledge series, computer scientist John Kelleher offers an accessible and concise but comprehensive introduction to the fundamental technology at the heart of the artificial intelligence revolution.

Kelleher explains that deep learning enables data-driven decisions by identifying and extracting patterns from large datasets; its ability to learn from complex data makes deep learning ideally suited to take advantage of the rapid growth in big data and computational power. Kelleher also explains some of the basic concepts in deep learning, presents a history of advances in the field, and discusses the current state of the art. He describes the most important deep learning architectures, including autoencoders, recurrent neural networks, and long short-term networks, as well as such recent developments as Generative Adversarial Networks and capsule networks. He also provides a comprehensive (and comprehensible) introduction to the two fundamental algorithms in deep learning: gradient descent and backpropagation. Finally, Kelleher considers the future of deep learning--major trends, possible developments, and significant challenges.