Year: 2025
Type: article
Abstract: Artificial General Intelligence (AGI) is an area of artificial intelligence research that aspires to create machines that can perform any intellectual task that a human can do. Unlike Artificial Narrow Intelligence (ANI), which is domain-specific, AGI seeks to replicate human-like adaptability, reasoning, and creativity. This paper provides a critical overview of the historical development of AGI, evaluates ongoing projects and initiatives, examines its potential applications across multiple sectors, and discusses associated ethical and governance challenges. The study identifies technological and societal gaps, highlights risks, and proposes a phased roadmap toward the development of AGI. The analysis emphasizes the importance of integrating ethical frameworks, interdisciplinary collaboration, and responsible innovation in shaping the AGI path.
Institution: Federal University Birnin Kebbi
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: gold
OpenAlex ID: W4415022821
