Navigating Inequities and Social Justice in the Age of Artificial Intelligence

This book explores the intersection of artificial intelligence (AI) with knowledge management, ethics, and social justice, shedding light on how technology can perpetuate or mitigate societal inequities. It presents a curated selection of works from the International Conference on Knowledge Management (ICKM) 2024, held at Kent State University, USA, uniting thought leaders, scholars, and practitioners to discuss the opportunities and challenges associated with the rise of AI and to address these challenges head-on.

AI is reshaping many aspects of society in a rapid revolution that raises urgent questions of equity, ethics, business, and society. Through theoretical frameworks, case studies, and critical analyses, the contributors to this volume examine the role of AI in diverse sectors such as education, healthcare, governance, and industry, emphasizing its impact on marginalized communities. Key topics include bias in AI algorithms, ethical frameworks for AI governance, equitable access to technology, the role of knowledge management in promoting inclusive decision-making, and the impact of AI in education.

The insights presented aim to empower readers to navigate the complexities of AI responsibly and advocate for systems that prioritize fairness and social good. This is an essential resource for academics, policymakers, industry professionals, and anyone interested in understanding how AI shapes societal structures and how we can leverage it for a more equitable future.

Contents:

• Sociodemographics and Knowledge Transfer in the Age of Artificial Intelligence: A Case Study of Pre-Kindergarten Enrollment (Amy Rosellini and Malak Khader)
• Toward Bridging the Knowledge Management Gap in Assessment Literacy: Artificial Intelligence as a Catalyst for Change (Abraham Abby Sen, Jeen Mariam Joy,Murray E Jennex, and Jeffry Babb)
• Toward Practical Mechanisms to Address Tacit Knowledge Management in Higher Learning Institutions (Joan Wakasa Murumba, Tom Kwanya, and Jane Cherono Maina)
• Information Literacy in the Digital Age: What is Being Taught in Library and Information Science Programs? (Meti Tmava, Tara Zimmerman, and Suliman Hawamdeh)
• From Chatbots to AI Chatbots: An Exploratory Website Content Analysis in Academic Libraries (Melissa Vang and Hsia-Ching Chang)
• An Evaluative Case Study of Self-Archiving Practices in South African Academic Institutions: A Knowledge Management Perspective (Kwame Kodua-Ntim and Madeleine Fombad)
• Artificial Intelligence in Education: Practice-Oriented Training with a Human-Centric Perspective (Brandon Ng Swee Tuan)
• Considerations for Incorporating Artificial Intelligence Skills into Knowledge Management Educational Programs (H Frank Cervone)
• Challenges of Knowledge Loss: A Case Study in an Information Organization (Tao Jin and Scott Kleinpeter)
• From 'S2P Learning Model' to 'S2P Corporate Knowledge Management Model' (Salah Eddine Bahji and Jamila El Alami)
• System Thinking as a Bedrock for System Integration (Yawar Abbas)
• Using Machine Learning to Enhance the Quantification of Social Noise on Social Media (Manar Alsaid)
• Measuring Awareness and Ability of Students in Securing Personal Sensitive Data on Mobile Phones (Ahmed Bukhari and Jeff Allen)
• Triangulating Mixed Methods to Access Trends and Impacts in the Journal of International Economic Law (Sahar Behpour, Sarah E Ryan, Ravi Varma Kumar Bevara, Crystal Bonds, and Ting Xiao)
• Diabetes Patients' Health Knowledge Sources: Asian Indian and Korean Immigrants (Yong-Mi Kim)
• Optimizing Financial Data Accuracy and Searchability Using AI User Interface and Large Language Models: A Case Study of CEO Compensation (Yara Mohammed)
• Will Computers Exhibit 'Artificial Intuition'? (Jay Liebowitz and Giovanni Miragliotta)
• The Cognitive Enterprise: The Way It Works! (Annie Green)

Readership: This book is targeted towards students, practitioners, and researchers in knowledge management and artificial intelligence, as well as general readers with an interest in these fields. The book will also appeal to professionals and academics in the fields of data analytics, information systems and similar areas.