ARTIFICIAL GENERAL INTELLIGENCE (AGI): MYTH, REALITY AND FUTURE PROSPECTS

Artificial General Intelligence (AGI) represents a pivotal yet elusive goal in artificial intelligence research, promising machines capable of human-like reasoning across diverse domains. This paper examines AGI through scholarly lenses, distinguishing conceptual myths from empirical realities, reviewing key literature, and analyzing methodological challenges. Drawing on peer-reviewed sources, it identifies research gaps in evaluation benchmarks and ethical frameworks while discussing practical implications for society. Findings suggest AGI remains theoretically feasible but distant, necessitating robust governance.[1][2]