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Catalogue complet

Kyriazoglou J: AI Management Framework

AI Management Framework

Practical Solutions for Ethical AI Deployment and Continuous Improvement

Part 1: Foundation.- Chapter 1: AI Management System.- Part 2: AI Ethics Framework.- Chapter 2. The Seven Ancient Greek Wisdom Principles.- Chapter 3: Corporate Philosophy Statements and Policies.- Part 3: AI Regulations and Standards.- Chapter 4: AI Global Standards and Guidelines .- Chapter 5: Major Data Protection Laws and Privacy by Design Framework Principles .- Chapter 6: Digital and Secure AI System Development Guidelines.- Part 4: AI Infrastructure Management.- Chapter 7:&nbsp;Prepare the Organization for AI.- Chapter 8: Establish AI Governance Framework.- Chapter 9: Establish Data Governance Framework.- Chapter 10: Manage IT Governance &amp; Privacy Controls.- Part 5: AI Systems Development and Operations.- Chapter 11: Develop AI Systems.- Chapter 12: Operate AI Systems.- Part 6: AI Infrastructure and Systems Assessment.- Chapter 13: Develop AI Infrastructure and Systems audit process.- Chapter 14: Assess Corporate Governance and HR Management Issues.- Chapter 15: Assess AI Governance and AI Data Management Issues .- Chapter 16: Assess AI Models and AI System Development Issues.- Chapter 17: Assess AI System Operation Issues.- Chapter 18: Assess IT Governance Issues.

Building a Program for Strategy and Oversight

Practical AI Governance

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

Smart Charging Infrastructures

Artificial Intelligence and Machine Learning in Data Science and Analytics

How to Make Sense of a Complex Future

The AI Paradox

Creativity in the Age of AI

What Art Is Now

Deep Learning in Computer Vision

The Invariance Principle

Medical Robots and Devices: New Developments and Advances

AI and Data Science in Precision Medicine, Predictive Analytics, and Medical Practice explores the transformative role of AI and data science in enhancing precision medicine, predictive analytics, and medical practice. The book covers diverse topics such as AI-driven personalized medicine, seizure prediction through EEG analysis, and the application of chaos theory in AI-driven healthcare. The volume also delves into medical practice and education, including ethical considerations, AI-driven supply chain management, and clinical documentation using natural language processing. Furthermore, it examines AI's role in telemedicine, patient engagement, and adherence, offering innovative solutions to improve healthcare delivery and outcomes.

AI and Data Science in Precision Medicine, Predictive Analytics, and Medical Practice

AI Management Framework

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