Unraveling the Black Box: Demystifying Machine Learning for the Everyday User

By. Kenneth Camacho Introduction Artificial Intelligence (AI) and computer science (CS) have rapidly evolved in recent years, transforming industries and reshaping the way we live and work. However, the benefits of these advancements are not evenly distributed, leading to a widening digital divide between those with access to AI-driven technologies and those without. This article will explore the importance of democratizing AI in computer science, the challenges faced, and potential solutions to foster a more equitable technological landscape. The Digital Divide: Challenges and Consequences The digital divide refers to the gap in access to information and communication technologies (ICTs) between different socioeconomic groups, regions, and countries. This disparity can exacerbate existing inequalities and hinder social and economic development, as those without access to AI-driven technologies are at a disadvantage in terms of education, healthcare, and employment opportunities. Democ