Ai Transparency And Organizational Change
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AI, Transparency, and Organizational Change
Artificial intelligence (AI) reshapes the way organizations operate, offering transformations across industries. However, as AI systems become more integrated into decision-making processes, the need for transparency becomes critical. Transparent AI builds trust while ensuring ethical standards are upheld and regulatory compliance is met. This intersection demands organizational change, altering workflows, governance structures, and cultural norms. Understanding how transparency influences AI adoption and drives internal transformation is essential for organizations harnessing AI effectively. AI, Transparency, and Organizational Change explores the integration of AI into organizations, requiring greater transparency in decision-making processes and system design. It examines the organizational changes required to implement transparent AI practices, including shifts in culture, governance, and accountability structures. This book covers topics such as business governance, decision-making, and ethics and law, and is a useful resource for business owners, policymakers, academicians, researchers, and scientists.
AI, Transparency, and Organizational Change
Author: Abdelfattah Jamal
language: en
Publisher: Engineering Science Reference
Release Date: 2025-07-04
Artificial intelligence (AI) reshapes the way organizations operate, offering transformations across industries. However, as AI systems become more integrated into decision-making processes, the need for transparency becomes critical. Transparent AI builds trust while ensuring ethical standards are upheld and regulatory compliance is met. This intersection demands organizational change, altering workflows, governance structures, and cultural norms. Understanding how transparency influences AI adoption and drives internal transformation is essential for organizations harnessing AI effectively. AI, Transparency, and Organizational Change explores the integration of AI into organizations, requiring greater transparency in decision-making processes and system design. It examines the organizational changes required to implement transparent AI practices, including shifts in culture, governance, and accountability structures. This book covers topics such as business governance, decision-making, and ethics and law, and is a useful resource for business owners, policymakers, academicians, researchers, and scientists.
Transparency in AI-Assisted Management Decisions
The integration of artificial intelligence (AI) into organizational processes is reshaping how decisions are made, driving innovation, efficiency, and strategic adaptability. By leveraging large-scale data analysis, AI systems enhance decision-making across sectors, from operations to human resource management. However, this transformation also raises critical concerns around transparency, ethics, and social accountability, especially in areas involving high-stakes outcomes. Addressing these challenges is essential to ensure that AI-supported management practices are not only effective but also fair, trustworthy, and aligned with broader societal values. Transparency in AI-Assisted Management Decisions explores how AI supports management decisions and assesses the transparency of these decisions. It analyzes the role of transparency in the integration of AI systems into decision-making processes while examining its impact on trust and accountability. Covering topics such as employee behavior, human resource management, and telework management, this book is an excellent resourced for practitioners, business leaders, academicians, researchers, and more.