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"Artificial"
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The global politics of artificial intelligence
\"Technologies such as artificial intelligence have led to significant advances in science and medicine, but have also facilitated new forms of repression, policing and surveillance. AI policy has become without doubt a significant issue of global politics. The Global Politics of Artificial Intelligence tackles some of the issues linked to AI development and use, contributing to a better understanding of the global politics of AI. This is an area where enormous work still needs to be done, and the contributors to this volume provide significant input into this field of study, to policy makers, academics, and society at large. Each of the chapters in this volume works as freestanding contribution, and provides an accessible account of a particular issue linked to AI from a political perspective. Contributors to the volume come from many different areas of expertise, and of the world, and range from emergent to established authors\"-- Provided by publisher.
The Atlas of AI
by
KATE CRAWFORD
in
Artificial intelligence
,
Artificial intelligence-Sociological aspects
,
Business
2021
The hidden costs of artificial intelligence, from natural
resources and labor to privacy and freedom What happens
when artificial intelligence saturates political life and depletes
the planet? How is AI shaping our understanding of ourselves and
our societies? In this book Kate Crawford reveals how this
planetary network is fueling a shift toward undemocratic governance
and increased inequality. Drawing on more than a decade of
research, award-winning science, and technology, Crawford reveals
how AI is a technology of extraction: from the energy and minerals
needed to build and sustain its infrastructure, to the exploited
workers behind \"automated\" services, to the data AI collects from
us. Rather than taking a narrow focus on code and algorithms,
Crawford offers us a political and a material perspective on what
it takes to make artificial intelligence and where it goes wrong.
While technical systems present a veneer of objectivity, they are
always systems of power. This is an urgent account of what is at
stake as technology companies use artificial intelligence to
reshape the world.
Satellite : innovation in orbit
Right now, above our heads nearly imperceptible to us but hugely important to how we live are thousands of man-made objects that we have sent into space. Ubiquitous but mysterious, satellites are the technological infrastructure of our globally connected world, helping us do everything from orient ourselves on a map to watch our favorite television shows. Yet we rarely ever think about them. In this book, Doug Millard pays overdue tribute to the stoic existence of the satellite, tracing its simultaneous pathways through the cold silence of space and the noisy turbulence of the past century. How satellites ever came to be is, in itself, a remarkable story. Telling an astonishing history of engineering experimentation and ingenuity, Millard shows how the Cold War space race made the earliest satellites ones like Sputnik, Telstar, and Early Bird household names. He describes how they evolved into cultural signifiers that represented not only our scientific capabilities but our capacity for imagination, our ability to broaden the scope of our vision to the farthest reaches. From there he follows the proliferation of satellites in the second half of the twentieth century, examining their many different forms, how they evolved, all the things they do, what they have enabled, and how they have influenced our popular culture. Ultimately, Millard asks what we can still expect, what sort of space age the satellite has initiated that is yet to be fully realized. Published in association with the Science Museum, London, this beautifully illustrated book will appeal to any fan of space exploration and technology.
The Age of Em
by
Hanson, Robin
in
Artificial intelligence
,
Artificial intelligence -- Forecasting
,
Artificial intelligence -- Philosophy
2016,2018
Robots may one day rule the world, but what is a robot-ruled Earth like? Many think that the first truly smart robots will be brain emulations or \"ems.\" Robin Hanson draws on decades of expertise in economics, physics, and computer science to paint a detailed picture of this next great era in human (and machine) evolution - the age of em.
Artificial Intelligence and Global Security
by
Masakowski, Yvonne R.
in
Artificial intelligence -- Military applications
,
Artificial intelligence -- Military applications fast (OCoLC)fst00817271
,
Artificial intelligence -- Moral and ethical aspects
2020
Artificial Intelligence and Global Security: Future Trends, Threats and Considerations brings a much-needed perspective on the impact of the integration of Artificial Intelligence (AI) technologies in military affairs. Experts forecast that AI will shape future military operations in ways that will revolutionize warfare.
The new fire : war, peace, and democracy in the age of AI
by
Buchanan, Ben, author
,
Imbrie, Andrew, author
in
Artificial intelligence.
,
Intelligence artificielle.
,
artificial intelligence.
2022
\"Is AI a force for ill or for good? How does it work? This book analyzes the potential of AI in many sectors, including global security\"-- Provided by publisher.
Prosthetic restoration and rehabilitation of the upper and lower extremity
2013,2014
Prosthetic Restoration and Rehabilitation of the Upper and Lower Extremity is a well-illustrated, state-of-the-art reference on the science and practice of post-amputation care, prosthetic restoration, and functional rehabilitation, designed to maximize patient independence and quality of life.
What AI can do
\"The book seeks to contribute to the social and cultural comprehension of AI, and how it is being assimilated by different disciplines, as well as some of its ethical controversies. The first section will analyse the philosophical and anthropological dimensions of AI, including the foundations of algorithms, social and cultural implications of algorithmic implementations, different social and cultural assumptions of algorithms and AI, AI from an anthropological point of view, and general and philosophical frameworks for AI ethics. The second section considers the point of view of disciplines such as education, medicine, business, and art. It discusses AI as an element of disruption and innovation in particular disciplines. Section three will analyze possible future scenarios for the application of AI, such as Singularity, Industry 4.0 and labor challenges, AI changing lifestyle and wellness, biometrics and Sentiment analysis on AI, psychological implications of AI and robotics, cybersecurity, and AI political threats.\"-- Provided by publisher.
Explainable artificial intelligence (XAI) in finance: a systematic literature review
by
Černevičienė, Jurgita
,
Kabašinskas, Audrius
in
Artificial Intelligence
,
Artificial neural networks
,
Computer Science
2024
As the range of decisions made by Artificial Intelligence (AI) expands, the need for Explainable AI (XAI) becomes increasingly critical. The reasoning behind the specific outcomes of complex and opaque financial models requires a thorough justification to improve risk assessment, minimise the loss of trust, and promote a more resilient and trustworthy financial ecosystem. This Systematic Literature Review (SLR) identifies 138 relevant articles from 2005 to 2022 and highlights empirical examples demonstrating XAI's potential benefits in the financial industry. We classified the articles according to the financial tasks addressed by AI using XAI, the variation in XAI methods between applications and tasks, and the development and application of new XAI methods. The most popular financial tasks addressed by the AI using XAI were credit management, stock price predictions, and fraud detection. The three most commonly employed AI black-box techniques in finance whose explainability was evaluated were Artificial Neural Networks (ANN), Extreme Gradient Boosting (XGBoost), and Random Forest. Most of the examined publications utilise feature importance, Shapley additive explanations (SHAP), and rule-based methods. In addition, they employ explainability frameworks that integrate multiple XAI techniques. We also concisely define the existing challenges, requirements, and unresolved issues in applying XAI in the financial sector.
Journal Article