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Gesamtkatalog

Catalogue complet

Advances in Quantum Computing

Priyadarshini I: Quantum Computing in
Cybersecurity and Artificial Intelligen

Quantum Computing in Cybersecurity and Artificial Intelligence

Embedded System and GUI Development using MATLAB for Engineering Applications

The MIT Press Essential Knowledge series

How tech companies, journalists, and policymakers can prevent AI decision-making from going wrong. Our lives are increasingly governed by automated systems influencing everything from medical care to policing to employment opportunities, but researchers and investigative journalists have proven that AI systems regularly get things wrong. Auditing AI is a first-of-its-kind exploration of why and how to audit artificial intelligence systems. It offers a simple roadmap for using AI audits to make product and policy changes that benefit companies and the public alike. The book aims to convince readers that AI systems should be subject to robust audits to protect all of us from the dangers of these systems. Readers will come away with an understanding of what an AI audit is, why AI audits are important, key components of an audit that follows best practices, how to interpret an audit, and the available choices to act on an audit’s results. The book is organized around canonical examples: from AI-powered drones mistakenly targeting civilians in conflict areas to false arrests triggered by facial recognition systems that misidentified people with dark skin tones to HR hiring software that prefers men. It explains these definitive cases of AI decision-making gone wrong and then highlights specific audits that have led to concrete changes in government policy and corporate practice. The Marquand House Collective: Marc Aidinoff, Lena Armstrong, Esha Bhandari, Ellery Roberts Biddle, Motahhare Eslami, Karrie Karahalios, Nate Matias, Danaé Metaxa, Alondra Nelson, Christian Sandvig, and Kristen Vaccaro.

Auditing AI

Distributed and Parallel Computing

Deep Learning in Computer Vision

Enhancing Reflective Teaching in Higher Education

Redefining Teaching and Learning

GenAI in Higher Education

Resistance in the Age of Artificial Intelligence

Algorithmic Capital

Augmented and Virtual Reality in Healthcare

Data-Driven Modeling

A Cultural History of Computer Graphics presents a fundamentally new approach to analyzing digital images aesthetically through the example of 3D computer graphics (CG). While numerous methods for creating digital imagery have long existed, the advent of AI-generated content is causing a rise in debates and conflict. It is becoming increasingly difficult to differentiate digital photographs, CG, and AI images, and yet, because these types of images carry different cultural or even political implications, it is becoming increasingly important to do so. In response to the need of new methods to culturally decode digital imagery, this book starts from the production process and describes computer graphics as an independent method of expression, containing a specific ideological concept of realism. Through this study, it becomes clear that a particular understanding of the world is inscribed in computer graphics software development and consequently the image creation process, and it becomes necessary to perceive production aesthetically, hence there is a focus on production aesthetics. In its own unique way, every digital imaging method embodies its own sense of the world. This book will be of great interest to researchers of computer graphics, 3D image generation, and the cultural history of computer-generated imagery.

A Cultural History of Computer Graphics

Combining Human Thinking and Creativity with Technology to Inspire Audiences

Authentic Marketing

Artificial Intelligence and Machine Learning in Data Science and Analytics

Studies in National Governance and Emerging Technologies

This book examines the relationship between artificial intelligence and power in government. The growth of AI has drastically altered the political landscape, and the shifting power relationships between actors involved in deploying AI have the potential to radically impact the ways in which this technology is understood, adopted and implemented in government. &nbsp;
Drawing together scholars from public policy, public management, information technology and law, this volume throws light on the implications that AI poses for existing power relationships between actors involved in the deployment and use of AI in government, and for existing power relationships between the state and citizens. It addresses these issues through three disciplinary perspectives – legal and regulatory studies, public policy and governance, and public management and innovation – in order to fully assess the interplay between AI and power in different governmental settings across the world. Chapters examine a range of themes pertinent to AI and governance, including the exercise of power, liability issues, ethical policymaking, surveillance, and the use of AI tools in public organizations. A concluding chapter maps out future directions for the study of AI and power in government.
Interdisciplinary in nature, the book will appeal to all those interested in public policy, governance, public management, law, and technology studies.
&nbsp;
Sorin Dan is Assistant Professor of Public Management at the School of Management&nbsp;of the University of Vaasa, Finland.
Niina Mäntylä is Professor of Public Law at the School of Management of the University of Vaasa, Finland.
Jane E. Fountain is Distinguished University Professor and Director of the School of Public Policy at the University of Massachusetts, Amherst, USA.

Artificial Intelligence and Power in Government

Quantum Computing in Cybersecurity and Artificial Intelligence

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