"We all have a vague sense that social media is bad for our minds, for our children, and for our democracies. But the truth is that its reach and impact run far deeper than we have understood. Building on years of international reporting, Max Fisher tells the gripping and galling inside story of how Facebook, Twitter, YouTube, and other social network preyed on psychological frailties to create the algorithms that drive everyday users to extreme opinions and, increasingly, extreme actions."
"A strikingly original exploration of what it might mean to be authentically human in the age of artificial intelligence. For most of human history the world was a magical and enchanted place ruled by forces beyond our understanding. The rise of science and Descartes's division of mind from world made materialism our ruling paradigm, in the process asking whether our own consciousness-i.e., souls-might be illusions. Now the inexorable rise of technology, with artificial intelligences that surpass our comprehension and control, and the spread of digital metaphors for self-understanding, the core questions of existence-identity, knowledge, the very nature and purpose of life itself-urgently require rethinking. Meghan O'Gieblyn...draws deeply and sometimes humorously from her own personal experience as a formerly religious believer still haunted by questions of faith, and she serves as the best possible guide to navigating the territory we are all entering."
"Through the technology embedded in almost every major tech platform and web-enabled device, algorithms make a staggering number of everyday decisions for us. Hosanagar surveys the brave new world of algorithmic decision-making and reveals the potentially dangerous biases they can give rise to as they increasingly run our lives. He makes the compelling case that we need to arm ourselves with a better, understanding of the phenomenon of algorithmic thinking. And he gives us a route in, pointing out that algorithms often think a lot like their creators."
"Shneiderman offers an optimistic realist's guide to how artificial intelligence can be used to augment and enhance humans' lives. Shneiderman shows how future applications will support health and wellness, improve education, accelerate business, and connect people in reliable, safe, and trustworthy ways that respect human values, rights, justice, and dignity."
"Monáe and an incredible array of talented collaborators have crafted a collection of tales exploring how different threads of liberation—queerness, race, gender plurality, and love—become tangled with future possibilities of memory and time in such a totalitarian landscape…and what the costs might be when trying to unravel and weave them into freedoms. Building off the tradition of speculative fiction writers such as Octavia E. Butler, Ted Chiang, Becky Chambers, and Nnedi Okorafor--The Memory Librarian serves to readers tales that dissect the human trials of identity expression, technology, and love, reaching through to the worlds of memory and time, and the stakes and power that pulse there."
"Is it possible that creative artists have more in common with machines than we might think? Employing an improvisational call-and-response writing performance coauthored with an AI text generator, remix artist and scholar Mark Amerika, interrogates how his own "psychic automatism" is itself a nonhuman function strategically designed to reveal the poetic attributes of programmable worlds still unimagined. Amerika engages with his cyberpunk imagination to simultaneously embrace and problematize human-machine collaborations. He draws from jazz performance, beatnik poetry, Buddhist thought, and surrealism to suggest that his own artificial creative intelligence operates as a finely tuned remix engine continuously training itself to build on the history of avant-garde art and writing."
Call Number: eBook and at Woodruff Library Q335 .M368 2019
"Two leaders in the field offer a compelling analysis of the current state of the art and reveal the steps we must take to achieve a truly robust artificial intelligence. Despite the hype surrounding AI, creating an intelligence that rivals or exceeds human levels is far more complicated than we have been led to believe. Taking inspiration from the human mind, Marcus and Davis explain what we need to advance AI to the next level, and suggest that if we are wise along the way, we won't need to worry about a future of machine overlords. If we focus on endowing machines with common sense and deep understanding, rather than simply focusing on statistical analysis and gatherine ever larger collections of data, we will be able to create an AI we can trust--in our homes, our cars, and our doctors' offices."
"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. Lanier 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."
"Jaron Lanier was a pioneer in digital media, and among the first to predict the revolutionary changes it would bring to our commerce and culture. Now, with the Web influencing virtually every aspect of our lives, he offers this provocative critique of how digital design is shaping society, for better and for worse. He discusses the technical and cultural problems that have unwittingly risen from programming choices--such as the nature of user identity--that were "locked-in" at the birth of digital media and considers what a future based on current design philosophies will bring. With the proliferation of social networks, cloud-based data storage systems, and Web 2.0 designs that elevate the "wisdom" of mobs and computer algorithms over the intelligence and wisdom of individuals, his message has never been more urgent."
"You look like a thing and I love you" is one of the best pickup lines ever . . . according to an artificial intelligence trained by scientist Janelle Shane, creator of the popular blog AI Weirdness. She creates silly AIs that learn how to name paint colors, create the best recipes, and even flirt (badly) with humans--all to understand the technology that governs so much of our daily lives. The perfect book for anyone curious about what the robots in our lives are thinking."
"An essential overview of the application of artificial intelligence in clinical medicine. Describes where AI is currently being used to change practice, and provides successful cases of AI approaches in specific medical domains. Dives into the actual implementation of AI in the healthcare setting, and addresses reimbursement, workforce, and many other practical issues. Addresses some of the unique challenges associated with AI in clinical medicine including ethical issues, as well as regulatory and privacy concerns. From radiology, to pathology, dermatology, endoscopy, robotics, and virtual reality; explores all recent state-of-the-art developments in the field."
"This book critically explores how and to what extent AI can infringe human rights and/or lead to socially harmful consequences and how to avoid these. The contributors of this book argue that the developments in AI must take place in an appropriate legal and ethical framework and they make recommendations to ensure that harm and human rights violations are avoided. The book is split into two parts: the first addresses human rights violations and harms that may occur in relation to AI in different domains (e.g. border control, surveillance, facial recognition) and the second part offers recommendations to address these issues."
"A concise but informative overview of AI ethics and policy. This book offers a concise overview of moral, political, legal and economic implications of AI. It covers the basics of AI's latest permutation, machine learning, and considers issues including transparency, bias, liability, privacy, and regulation."