Transparency in AI-Assisted Management Decisions
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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 als...
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.
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