Human-Centered AI and Machine Learning for e-Collaboration

Rather than replacing the way people work together, digital human-centered AI and machine learning for e-collaboration focus on designing technologies that enhance how people collaborate. By prioritizing human needs, these systems enable teams to collaborate more effectively across distances and time zones. AI-driven tools can help streamline communication and adapt to individual and group workflows, all while keeping humans firmly in control. This approach ensures that e-collaboration becomes not only more efficient but also more inclusive and aligned with the ways people naturally interact. Human-Centered AI and Machine Learning for e-Collaboration explores how AI and humans communicate and collaborate. It examines collaboration technologies and tools through human-centered AI and provides fresh ideas on how real-world challenges set new frontiers. Covering topics such as AI, machine learning, and e-collaboration, this book is an excellent resource for academicians, policy makers, researchers, librarians, and more