Transparency In Ai Assisted Management Decisions
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Transparency In Ai Assisted Management Decisions
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Author : Jamal, Abdelfattah
language : en
Publisher: IGI Global
Release Date : 2025-06-25
Transparency In Ai Assisted Management Decisions written by Jamal, Abdelfattah and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-25 with Business & Economics categories.
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.
Artificial Intelligence
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Author : Arthur G.O. Mutambara
language : en
Publisher: CRC Press
Release Date : 2025-04-09
Artificial Intelligence written by Arthur G.O. Mutambara and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-09 with Computers categories.
This book presents contextualised and detailed research on Artificial Intelligence (AI) and the Global South. It examines the key challenges of these emerging and least industrialised countries while proffering holistic and comprehensive solutions. The book then explains how AI, as part of these broad interventions, can drive Global South economies to achieve inclusive development and shared prosperity. The book outlines how countries can swiftly prepare to adopt and develop AI across all sectors. It presents novel national, regional, and continental AI adoption, development, and implementation frameworks. Features: Broad non-AI interventions and prescriptions to address Global South challenges A comprehensive but accessible introduction to AI concepts, technology, infrastructure, systems, and innovations such as AlphaFold, ChatGPT-4, and DeepSeek-R1 An overview of AI-related technologies such as quantum computing, battery energy storage systems, 3D printing, nanotechnology, IoT, and blockchain How to prepare emerging economies to unlock the benefits of AI while mitigating the risks Discussion of specific AI applications in 11 critical Global South sectors Details of 11 sector case studies of AI adoption in the Global South and Global North Ten country case studies: Sharing emergent AI experiences in the Global South AI adoption framework: vision, strategy, policy, governance, legislation/regulation, and implementation matrix A framework for democratising and decolonising AI The value proposition for AI research, development, and ownership in the Global South A case for the participation of the Global South in the AI semiconductor industry This book is aimed at policymakers, business leaders, graduate students, academics, researchers, strategic thinkers, and world leaders seeking to understand and leverage the transformative role of AI-based systems in achieving inclusive development, economic transformation, and shared prosperity.
Regulating Artificial Intelligence
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Author : Thomas Wischmeyer
language : en
Publisher: Springer Nature
Release Date : 2019-11-29
Regulating Artificial Intelligence written by Thomas Wischmeyer and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-29 with Law categories.
This book assesses the normative and practical challenges for artificial intelligence (AI) regulation, offers comprehensive information on the laws that currently shape or restrict the design or use of AI, and develops policy recommendations for those areas in which regulation is most urgently needed. By gathering contributions from scholars who are experts in their respective fields of legal research, it demonstrates that AI regulation is not a specialized sub-discipline, but affects the entire legal system and thus concerns all lawyers. Machine learning-based technology, which lies at the heart of what is commonly referred to as AI, is increasingly being employed to make policy and business decisions with broad social impacts, and therefore runs the risk of causing wide-scale damage. At the same time, AI technology is becoming more and more complex and difficult to understand, making it harder to determine whether or not it is being used in accordance with the law. In light of this situation, even tech enthusiasts are calling for stricter regulation of AI. Legislators, too, are stepping in and have begun to pass AI laws, including the prohibition of automated decision-making systems in Article 22 of the General Data Protection Regulation, the New York City AI transparency bill, and the 2017 amendments to the German Cartel Act and German Administrative Procedure Act. While the belief that something needs to be done is widely shared, there is far less clarity about what exactly can or should be done, or what effective regulation might look like. The book is divided into two major parts, the first of which focuses on features common to most AI systems, and explores how they relate to the legal framework for data-driven technologies, which already exists in the form of (national and supra-national) constitutional law, EU data protection and competition law, and anti-discrimination law. In the second part, the book examines in detail a number of relevant sectors in which AI is increasingly shaping decision-making processes, ranging from the notorious social media and the legal, financial and healthcare industries, to fields like law enforcement and tax law, in which we can observe how regulation by AI is becoming a reality.
Ai Hris Become An Architect Of Transformation
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Author : Anne-Victoria HAZOUMÉ
language : en
Publisher: IA PROJECT MANAGER
Release Date :
Ai Hris Become An Architect Of Transformation written by Anne-Victoria HAZOUMÉ and has been published by IA PROJECT MANAGER this book supported file pdf, txt, epub, kindle and other format this book has been release on with Business & Economics categories.
Artificial intelligence is revolutionizing human resources and project management. This book is a practical guide designed to support you in implementing AI in your HRIS projects. What’s inside: - Automation and optimization: Boost efficiency with AI for recruitment, training, performance analysis, and workflow optimization. - Practical tools: Sample project charters, detailed project plans, and accessible tool recommendations to help you experiment quickly. - Strategic applications: Explore real-world use cases of AI to predict talent needs, enhance employee experience, and promote workplace inclusion. - A human-centeredapproach: Learn how to leverage AI to free up time, foster skill development, and create more inclusive and sustainable work environments. Who is this for? Project managers, HR professionals, decision-makers, and anyone curious about harnessing AI to modernize HR practices. Practical, step-by-step, and action-oriented, this book equips you with the tools to turn your ambitions into reality and make AI a driver of innovation serving humanity.
Artificial Intelligence Ai In Cell And Genetic Engineering
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Author : Sudip Mandal
language : en
Publisher: Springer Nature
Release Date : 2025-06-24
Artificial Intelligence Ai In Cell And Genetic Engineering written by Sudip Mandal and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-24 with Technology & Engineering categories.
This volume focuses on how different artificial intelligence (AI) techniques like Artificial Neural Network, Support Vector Machine, Random Forest, k-means Clustering, Rough Set Theory, and Convolutional Neural Network models are used in areas of cell and genetic engineering. The chapters this book cover a variety of topics such as molecular modelling in drug discovery, design of precision medicine, protein structure prediction, and analysis using AI. Readers can also learn about AI-based biomolecular spectroscopy, cell culture-system, AI-based drug discovery, and next generation sequencing. The book also discusses the application of AI in analysis of genetic diseases such as finding genetic insights of oral and maxillofacial cancer, early screening and diagnosis of autism, and classification of breast cancer microarray data. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Cutting-edge and thorough, Artificial Intelligence (AI) in Cell and Genetic Engineering is a valuable resource for readers in various research communities who want to learn more about the real-life application of artificial intelligence and machine learning in systems biology, biotechnology, bioinformatics, and health-informatics especially in the field of cell and genetic engineering.
Enterprise Design Operations And Computing Edoc 2024 Workshops
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Author : Monika Kaczmarek-Heß
language : en
Publisher: Springer Nature
Release Date : 2025-02-08
Enterprise Design Operations And Computing Edoc 2024 Workshops written by Monika Kaczmarek-Heß and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-08 with Business & Economics categories.
This volume constitutes revised selected papers of two workshops, the Doctoral Consortium, the Joint CBI-EDOC Forum and and other Joint CBI-EDOC event, which were held in conjunction with the 28th International Conference on Enterprise Design, Operations, and Computing, EDOC 2024, in Vienna, Austria, in September 10–13, 2024. The presented revised full papers in this book were carefully reviewed and selected. They stem from the following satellite events: iRESEARCH – 2nd International Workshop on Empirical Methodologies for Research in Enterprise Architecture and Service-oriented Computing MIDas4CS – 2nd Workshop on the Modelling and Implementation of Digital Twins for Complex Systems Joint CBI–EDOC Forum Joint CBI–EDOC Case Reports Track Joint CBI–EDOC Tools & Demos Track EDOC Doctoral Consortium CBI Mini Dagstuhl Seminars
Advancements In Intelligent Process Automation
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Author : Thangam, Dhanabalan
language : en
Publisher: IGI Global
Release Date : 2024-10-01
Advancements In Intelligent Process Automation written by Thangam, Dhanabalan and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-01 with Technology & Engineering categories.
In the current fast-paced business environment, organizations face the challenge of improving operational efficiency and driving innovation while dealing with complex technological landscapes. Many organizations require assistance exploiting intelligent process automation's full potential (IPA). This is often due to a need for more comprehensive understanding or clear implementation strategies. As a result, they need to help their workflows, optimize resources, and adapt effectively to changing market demands. Advancements in Intelligent Process Automation bridges this gap by providing a holistic view of IPA, encompassing RPA, AI, and ML, among other key technologies. Through real-world case studies, strategic guidelines, and interdisciplinary perspectives, the book offers actionable insights that are not just theoretical, but practical and implementable. This ensures that organizations seeking to implement IPA can do so seamlessly, without feeling overwhelmed or unsure. Addressing ethical and regulatory considerations ensures responsible AI practices and compliance, fostering a sustainable approach to automation.
Smart Water Technology For Sustainable Management In Modern Cities
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Author : Ruiz-Vanoye, Jorge A.
language : en
Publisher: IGI Global
Release Date : 2025-02-18
Smart Water Technology For Sustainable Management In Modern Cities written by Ruiz-Vanoye, Jorge A. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-18 with Technology & Engineering categories.
With growing populations and the pressures of climate change, cities face significant challenges in maintaining sustainable water systems. Smart water technologies, including sensors, data analytics, and automated systems, enable real-time monitoring and efficient management of water resources, reducing waste and improving infrastructure. These innovations help improve water quality and availability while supporting efforts to minimize environmental impact and improve urban sustainability. As cities expand, the adoption of smart water technology is crucial for a reliable, sustainable, and equitable water supply. Smart Water Technology for Sustainable Management in Modern Cities examines the convergence of artificial intelligence (AI) and smart water technologies in the context of smart cities. It explores how AI is transforming water management to address challenges such as efficiency, sustainability, climate change resilience and optimizing water use in urban environments. This book covers topics such as wastewater treatment, precision agriculture, and smart cities, and is a useful resource for environmental scientists, urban developers, engineers, computer scientists, academicians, and researchers.
Artificial Intelligence In Government
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Author : Rodrigo Sandoval-Almazán
language : en
Publisher: Springer Nature
Release Date : 2025-06-18
Artificial Intelligence In Government written by Rodrigo Sandoval-Almazán and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-18 with Political Science categories.
This edited volume discusses the challenges of digital transformation in Latin America, specifically regarding the use of AI for government management in the public sector. This book brings together leading scholars and practitioners from the region to address the legal and regulatory frameworks needed to introduce AI into government processes, as well as the infrastructure requirements for successful implementation. It explores potential resistance from public officials towards technology adoption and ways to overcome it. Moreover, the book considers the digital divide that exists within Latin American societies, which may hinder access to AI tools for some citizens. It also discusses ethical considerations related to AI use in government processes, such as privacy concerns and algorithmic bias. Providing a comprehensive understanding of the challenges and opportunities that AI presents for Latin American governments, this volume will be of use to students and scholars interested in governance, public management, AI, and Latin American studies.
Ai In Agriculture For Sustainable And Economic Management
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Author : Sirisha Potluri
language : en
Publisher: CRC Press
Release Date : 2024-08-01
Ai In Agriculture For Sustainable And Economic Management written by Sirisha Potluri and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-01 with Computers categories.
This book explains the best practices and their respective outcomes in artificial intelligence (AI) to meet sustainable development goals and demands. It examines the practices, technologies, and innovations at the core of various research issues to meet the sustainable development demands in agriculture to balance social, economic, and environmental sustainability with AI. AI in Agriculture for Sustainable and Economic Management discusses AI-driven nanotechnology approaches for precision agriculture and solutions for the optimization of farming resources and their management. The authors examine the impact of AI in agriculture and how technology-driven sustainable farming with smart waste-water treatment for zero waste for the circular economy can extend crop shelf-life. It discusses how AI expertise can be advantageous to envisage and evaluate the increasing demands of productivity, and to help to maintain ecosystems and strengthen the capacity for crop adaptation in response to drastic changes in climate and weather, natural disasters, and other significant factors. These findings and practices are also useful to emphasize how an agricultural ecosystem can be advanced and industrialized so that it can aid not only large commercial farms but also smaller farmlands. Finally, it also discusses how AI practices will help to find a balance between the volume of food manufactured and the proper maintenance of the ecosystem. This book is intended for researchers and upper graduate students interested in artificial intelligence in agricultural engineering, AI advances in crop science and technology for sustainable development.