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Smallwood Robert F.: AI Governance
Playbook

AI Governance Playbook

How to Secure, Control, and Optimize Artificial Intelligence Initiatives

Exploring Machine and Deep Learning's Impact on Computer Vision

From Pixels to Insights

Hospital and Healthcare Security, 7th Edition builds on the foundation of the previous six editions and includes new material to reflect the current state of healthcare security, particularly in data security and privacy, patient-generated violence, new technologies, and regulatory changes. It explains the basics as well as higher expertise concerns, such as the roles of design, emergency management, and policy. Conveying a wide spectrum of topics in an easy-to-comprehend format, it provides a thorough understanding of how the modern healthcare security program should be structured, resourced, and integrated around the principles of people, processes, and technology. This industry leading reference discusses best practices when assessing the security vulnerabilities of a healthcare environment, security master planning and layering in protection philosophies into the built environment, and leveraging security systems and innovation and focuses on operationally proven practices, policies, and procedures. Due to rapid changes in violence in healthcare, regulatory requirements, litigation, accreditation standards, advancements in technology and new healthcare security issues and topics, the new edition is rewritten in most areas and contains approximately 25-30% new and updated data and corresponding examples. This book is deemed by healthcare executives, accrediting agencies, and industry associations to set the standard of care for healthcare security systems and programs. Its scope, purpose, and objective do just that-set the standard of care in healthcare security in both a legal and operational sense. It serves as a comprehensive resource for those new to the industry, recently promoted and seasoned professionals alike.

Hospital and Healthcare Security

Synthetic Media, Deepfakes, and Cyber Deception: Attacks, Analysis, and Defenses introduces the only analytical Synthetic Media Analysis Framework (SMAF) to help describe cyber threats and help security professionals anticipate and analyze attacks. This framework encompasses seven dimensions: Credibility, Control, Medium, Interactivity, Familiarity, Intended Target, and Evocation. Synthetic media is a broad term that encompasses the artificial manipulation, modification, and production of information, covering a spectrum from audio-video deepfakes to text-based chatbots. Synthetic media provides cyber attackers and scammers with a game-changing advantage over traditional ROSE attacks because they have the potential to convincingly impersonate close associates through text, imagery, voice, and video. This burgeoning threat has yet to be meaningfully addressed through any written treatment on the topic. The book is co-authored by three cyber influence and deception experts who have gained deep knowledge and experience on the topic through diverse, true operational pathways and backgrounds. The diversity and perspectives of the author team makes the content in the book the broadest and deepest treatment of synthetic media attacks available to readers.

Attacks, Analysis, and Defenses

Synthetic Media, Deepfakes, and Cyber Deception

Medical Robots and Devices: New Developments and Advances

Medical Imaging Application in Health Assessment and Disease Management is an all-encompassing book that explores the transformative power of medical imaging in various fields of medicine. It showcases the latest advancements and applications of medical imaging modalities, ranging from neurology and oncology to audiology and osteoporosis. The book highlights the role of medical imaging in understanding and treating neurological conditions, assessing bone health, unraveling hearing disorders, and diagnosing and treating oncological conditions. It also delves into the potential of artificial intelligence and machine learning in improving cancer diagnosis and treatment. The book explores the use of medical imaging in observing mental health conditions such as autism spectrum disorder and stress-related behavioral changes. This comprehensive resource is essential for researchers and professional engineers in the fields of medical image computing/processing, computer science, artificial intelligence, radiology, neuroscience, and biomedical research.

Medical Imaging Application in Health Assessment and Disease Management

Methods, Applications, and Implications

Adaptive AI in Sensor Informatics

Emerging Technologies for Sustainable Industry Development

Aquaculture with Artificial Intelligence

Concepts, Models, and Applications

Learning-Driven Game Theory for AI

Psychophysics and Experimental Phenomenology of Pattern Cognition

Recent advances in robotics and artificial intelligence enabled robots to not merely be programmed for a specific task, but adapt to their environment and own body autonomously. The inspiration for this open-ended development and learning comes from findings in developmental psychology on sensorimotor and social learning. Developing a sense of Self and a sense of agency is a crucial milestone towards autonomy and cognitive and social skills in both natural and artificial systems.By exploring and interacting with their surroundings, infants learn about their bodily capabilities and develop a sense of their body as an entity differentiated from the environment and that they can control. Neuroscientists identified a set of brain regions that would be involved in this subjective experience, and hypothesized on a range of processes that would produce it.This book will explain the development of the self and self-agency in humans, and discuss what could be transferred to artificial systems. The state of the art of research in developmental robotics related to the self will be illustrated with many examples.

Self And Sense Of Agency In Artificial Systems

Transforming Enterprise Knowledge with Azure AI and Microsoft Copilot

The Five C's of Digital Knowledge Management

New Directions in Contemporary Art

The field of AI Art is a hotbed for strange, uneasy partnerships between big tech, big art and critical culture. Not since Walter Benjamin's Age of Mechanical Reproduction has there been a similar challenge to humanist art criticism. This book examines how a contemporary critic should best engage with, contextualise and effectively critique machine-learning-based art. In considering this question, Nora Khan looks at the rush of institutions to place AI Art within an art-historical lineage while they simultaneously accept significant funding from technology companies. She discusses the scale and speed at which technological production, machine learning, and AI have abraded the individual's capacity for critical evaluation, moving us to consider what a shared, collective criticism of AI might sound like.

AI Art and the Stakes for Art Criticism

The Data, Tech, and Trust Behind AI Success

Data Makes the World Go 'Round

AI Governance Playbook

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