Emerging Research on Human -AI Convergence

The rapid advancement of artificial intelligence (AI) has ushered in a new era of human -AI convergence, where intelligent systems and human capabilities increasingly intertwine to enhance decision-making, creativity, and problem-solving. This review article synthesizes emerging research on the interdisciplinary field of human -AI convergence, exploring key developments, challenges, and future directions. In this paper, the integration of AI in cognitive augmentation, collaborative intelligence, and socio-technical systems, highlighting breakthroughs in brain-computer interfaces, adaptive learning, and human-in-the-loop AI is being examined. Ethical considerations, trust, and transparency in hybrid human -AI systems are critically analyzed, alongside the societal implications of this convergence. By identifying gaps in current research and proposing pathways for responsible innovation, this review aims to inform researchers, policymakers, and practitioners about the transformative potential and risks of human -AI synergy in shaping the future of work, education, and human-machine interaction.

کلیدواژه ها:

Human -AI collaboration ، cognitive augmentation ، human -in-the-loop systems ، ethical AI