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. 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.
In this book, Terry Sejnowski explains how deep learning went from being an arcane academic field to a disruptive technology in the information economy. The new version of AI Sejnowski and others developed, which became deep learning, is fueled instead by data.
Reporting from the cutting edge of scientific research, The Ethical Algorithm offers a new approach: a set of principled solutions based on the emerging and exciting science of socially aware algorithm design.
How will Artificial Intelligence affect crime, war, justice, jobs, society and our very sense of being human? The rise of AI has the potential to transform our future more than any other technology--and there's nobody better qualified or situated to explore that future than Max Tegmark, an MIT professor who's helped mainstream research on how to keep AI beneficial.
Zuboff's comprehensive and moving analysis lays bare the threats to twenty-first century society: a controlled "hive" of total connection that seduces with promises of total certainty for maximum profit -- at the expense of democracy, freedom, and our human future. With little resistance from law or society, surveillance capitalism is on the verge of dominating the social order and shaping the digital future -- if we let it.
Delegating important decisions to machines gives rise to deep moral concerns about responsibility, transparency, freedom, fairness, and democracy. Algorithms and Autonomy connects these concerns to the core human value of autonomy in the contexts of algorithmic teacher evaluation, risk assessment in criminal sentencing, predictive policing, background checks, news feeds, ride-sharing platforms, social media, and election interference.
Bringing together theories of whiteness and race in the humanities and social sciences with a deep understanding of the history and practice of science and computing, Artificial Whiteness is an incisive, urgent critique of the uses of AI as a political tool to uphold social hierarchies.
Conceptualizing algorithms as ethicopolitical entities that are entangled with the data attributes of people, Amoore outlines how algorithms give incomplete accounts of themselves, learn through relationships with human practices, and exist in the world in ways that exceed their source code.
This book provides an overview of the role of AI in medicine and, more generally, of issues at the intersection of mathematics, informatics, and medicine. It is intended for AI experts, offering them a valuable retrospective and a global vision for the future, as well as for non-experts who are curious about this timely and important subject.
In this book, Ed Finn considers how the algorithm--in practical terms, "a method for solving a problem"--has its roots not only in mathematical logic but also in cybernetics, philosophy, and magical thinking. Finn argues that the algorithm deploys concepts from the idealized space of computation in a messy reality, with unpredictable and sometimes fascinating results.
Do You Trust This Computer? explores the promises and perils of our new era. Will A.I. usher in an age of unprecedented potential, or prove to be our final invention? Featuring influential minds, including but not limited to: former Google Brain co - founder & director Andrew Ng, co-founder and CEO of Affectiva Rana el Kaliouby, Osaka University robotic engineer Hiroshi Ishiguro, engineer & entrepreneur Elon Musk, OpenAI director Shivon Zilis, and co - showrunner of HBO's Westworld, Jonathan Nolan.
IHUMAN is a political thriller that explores the creeping expansion of artificial intelligence under an illusion of democracy and freedom of choice. The film follows pioneers on the front lines of the invisible AI revolution, exposing how this technology is being developed and implemented.