A COMPREHENSIVE STUDY ON THE IMPACT OF ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING
DOI:
https://doi.org/10.8224/journaloi.v74i1.866Keywords:
Artificial Intelligence (AI), Machine Learning (ML), Digital Transformation, Ethical AI, Data Privacy, Automation, Algorithmic Bias, Explainable AI (XAI), Employment Disruption, Economic Impact, Smart Healthcare, AI in Education, Industry 4.0, Responsible AI, Governance and RegulationAbstract
Artificial Intelligence (AI) and Machine Learning (ML) have become pivotal technologies driving the transformation of modern industries, economic systems, and daily life. This study explores the far-reaching impacts of AI/ML across sectors such as healthcare, education, agriculture, finance, and manufacturing. It evaluates both the opportunities—such as efficiency, automation, and innovation—and the challenges, including job displacement, ethical dilemmas, data privacy concerns, and algorithmic bias. Through sectoral analysis, visual illustrations, and real-world case examples, the paper presents a balanced perspective on how AI/ML are reshaping societal and economic structures. The study also highlights the need for responsible AI deployment, inclusive policies, and future research in areas like explainable AI, sustainable AI, and global regulatory frameworks. Ultimately, the paper emphasizes that while AI/ML promise transformative progress, they must be guided by ethical design and strategic governance to ensure equitable and human-centric outcomes.