Human-Centric AI: Understanding and Enhancing Collaboration between Humans and Intelligent Systems

Abstract

This research explores the field of human-centered AI cooperation to learn more about its dynamics, ethical issues, and design principles that put the user first. Our study analyzes cross-sector cooperation using a mixed-methods approach that combines qualitative analysis and empirical case studies, coinciding with the idea of "cobotics (collaborative robotics)." Transparency in ethics becomes a crucial issue, reflecting the development of the AI ethical debate. Quantitative measurements show how AI has the power to revolutionize businesses by improving accuracy, effectiveness, and user engagement. To capture changing dynamics and broaden the boundaries of collaboration, we advise longitudinal studies and multidisciplinary research. Our research essentially emphasizes the mutually beneficial interaction between people and AI, paving the path for technology that places a high priority on user values and ethical integrity.