As organizations integrate AI into their operations, the relationship among ethics, trust, and human-AI collaboration has become essential to success. AI-enabled organizations use intelligent systems to improve decision-making, automate routine tasks, and drive innovation. However, these benefits can only be fully realized when AI is implemented responsibly and transparently. Ethical principles help ensure that AI systems align with organizational values and societal expectations, while trust enables employees to use AI tools with confidence and maintain appropriate oversight and judgment. By fostering ethical AI practices and strengthening trust between people and intelligent systems, organizations can create collaborative environments that maximize both technological capabilities and human expertise. Ethics, Trust, and Human-AI Collaboration in AI-Enabled Organizations explores strategies for responsibly integrating AI while upholding ethical standards, transparency, fairness, accountability, and data privacy. It examines how trust in AI influences effective human-AI collaboration, enabling people and intelligent technologies to work together to enhance decision-making and organizational outcomes. Covering topics such as public trust, risk management, and agentic systems, this book serves as a valuable resource for business leaders, engineers, academics, researchers, and scientists.
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Dr Festus Fatai Adedoyin is a Senior Lecturer in Computer Science at Bournemouth University, United Kingdom, where he provides academic leadership across programmes in data science, artificial intelligence, business analytics, and digital transformation. He holds a PhD in Economics from Bournemouth University, with a research focus on microdata modelling, behavioural analysis, and simulation-based policy design. He also holds postgraduate qualifications in Development Policy (KDI School of Public Policy and Management, South Korea) and Economics (University of Ibadan, Nigeria), alongside specialist training in non-linear panel data modelling from the Barcelona Graduate School of Economics. Dr Adedoyin's academic and professional work sits at the intersection of digital transformation, artificial intelligence, policy design, and organisational performance, with particular emphasis on regulated and public-sector environments. He has led and contributed to curriculum development in digital innovation, global FinTech transformation, and AI-enabled business analytics, and has served in senior academic leadership roles including Programme Leader and Postgraduate Project Coordinator. He has an extensive publication record spanning AI, digital competence, energy and environmental policy, financial systems, health systems transformation, and technology-driven development, with work published in leading international journals and edited volumes. He is the editor of multiple scholarly books on digital competence, simulation and machine learning models for policy design, and generative AI and productivity, and has contributed to high-impact conferences and interdisciplinary research initiatives. Beyond academia, Dr Adedoyin has served as an international consultant for United Nations-affiliated projects, including UNDP and Green Climate Fund (GCF) programmes, providing strategic advisory support on climate change, health systems resilience, capacity development, and digital transformation. He has led and contributed to externally funded projects involving government bodies, development partners, and industry, including knowledge transfer partnerships and applied AI research initiatives. Dr Adedoyin is a Fellow of the UK Higher Education Academy, a member of the IEEE and the British Computer Society, and a Chartered Management and Business Educator. His work is driven by a commitment to responsible, human-centred, and policy-aligned adoption of AI and digital technologies to support institutional effectiveness, societal wellbeing, and sustainable development.
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Hardcover. Zustand: new. Hardcover. As organizations integrate AI into their operations, the relationship among ethics, trust, and human-AI collaboration has become essential to success. AI-enabled organizations use intelligent systems to improve decision-making, automate routine tasks, and drive innovation. However, these benefits can only be fully realized when AI is implemented responsibly and transparently. Ethical principles help ensure that AI systems align with organizational values and societal expectations, while trust enables employees to use AI tools with confidence and maintain appropriate oversight and judgment. By fostering ethical AI practices and strengthening trust between people and intelligent systems, organizations can create collaborative environments that maximize both technological capabilities and human expertise. Ethics, Trust, and Human-AI Collaboration in AI-Enabled Organizations explores strategies for responsibly integrating AI while upholding ethical standards, transparency, fairness, accountability, and data privacy. It examines how trust in AI influences effective human-AI collaboration, enabling people and intelligent technologies to work together to enhance decision-making and organizational outcomes. Covering topics such as public trust, risk management, and agentic systems, this book serves as a valuable resource for business leaders, engineers, academics, researchers, and scientists. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Bestandsnummer des Verkäufers 9798260044735
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Hardcover. Zustand: new. Hardcover. As organizations integrate AI into their operations, the relationship among ethics, trust, and human-AI collaboration has become essential to success. AI-enabled organizations use intelligent systems to improve decision-making, automate routine tasks, and drive innovation. However, these benefits can only be fully realized when AI is implemented responsibly and transparently. Ethical principles help ensure that AI systems align with organizational values and societal expectations, while trust enables employees to use AI tools with confidence and maintain appropriate oversight and judgment. By fostering ethical AI practices and strengthening trust between people and intelligent systems, organizations can create collaborative environments that maximize both technological capabilities and human expertise. Ethics, Trust, and Human-AI Collaboration in AI-Enabled Organizations explores strategies for responsibly integrating AI while upholding ethical standards, transparency, fairness, accountability, and data privacy. It examines how trust in AI influences effective human-AI collaboration, enabling people and intelligent technologies to work together to enhance decision-making and organizational outcomes. Covering topics such as public trust, risk management, and agentic systems, this book serves as a valuable resource for business leaders, engineers, academics, researchers, and scientists. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Bestandsnummer des Verkäufers 9798260044735
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Hardcover. Zustand: new. Hardcover. As organizations integrate AI into their operations, the relationship among ethics, trust, and human-AI collaboration has become essential to success. AI-enabled organizations use intelligent systems to improve decision-making, automate routine tasks, and drive innovation. However, these benefits can only be fully realized when AI is implemented responsibly and transparently. Ethical principles help ensure that AI systems align with organizational values and societal expectations, while trust enables employees to use AI tools with confidence and maintain appropriate oversight and judgment. By fostering ethical AI practices and strengthening trust between people and intelligent systems, organizations can create collaborative environments that maximize both technological capabilities and human expertise. Ethics, Trust, and Human-AI Collaboration in AI-Enabled Organizations explores strategies for responsibly integrating AI while upholding ethical standards, transparency, fairness, accountability, and data privacy. It examines how trust in AI influences effective human-AI collaboration, enabling people and intelligent technologies to work together to enhance decision-making and organizational outcomes. Covering topics such as public trust, risk management, and agentic systems, this book serves as a valuable resource for business leaders, engineers, academics, researchers, and scientists. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Bestandsnummer des Verkäufers 9798260044735
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Buch. Zustand: Neu. Ethics, Trust, and Human-AI Collaboration in AI-Enabled Organizations | Festus Adedoyin | Buch | Englisch | 2026 | IGI GLOBAL SCIENTIFIC PUBLISHING | EAN 9798260044735 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. Bestandsnummer des Verkäufers 138072566
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Buch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - As organizations integrate AI into their operations, the relationship among ethics, trust, and human-AI collaboration has become essential to success. AI-enabled organizations use intelligent systems to improve decision-making, automate routine tasks, and drive innovation. However, these benefits can only be fully realized when AI is implemented responsibly and transparently. Ethical principles help ensure that AI systems align with organizational values and societal expectations, while trust enables employees to use AI tools with confidence and maintain appropriate oversight and judgment. By fostering ethical AI practices and strengthening trust between people and intelligent systems, organizations can create collaborative environments that maximize both technological capabilities and human expertise. Ethics, Trust, and Human-AI Collaboration in AI-Enabled Organizations explores strategies for responsibly integrating AI while upholding ethical standards, transparency, fairness, accountability, and data privacy. It examines how trust in AI influences effective human-AI collaboration, enabling people and intelligent technologies to work together to enhance decision-making and organizational outcomes. Covering topics such as public trust, risk management, and agentic systems, this book serves as a valuable resource for business leaders, engineers, academics, researchers, and scientists. Bestandsnummer des Verkäufers 9798260044735
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