Abstract
Artificial Intelligence or AI refers to computer systems capable of performing tasks that typically require human intelligence, such as decision-making, problem-solving, language processing, and pattern recognition. Historically, AI research began in 1950s, but its large-scale adoption accelerated in the 21st century due to advancements in machine learning.
Today, AI is widely used in education, business, healthcare, government services. In academic institutions, AI tools assist in research, automated grading, content generation, and student support systems.
The increasing use of AI is guided by existing legal frameworks related to Data Privacy Law, Intellectual Property Laws, Cybersecurity Regulations, and Ethical AI Governance Frameworks. However, many jurisdictions still lack comprehensive AI-specific legislation, leading to regulatory uncertainties.
Existing research emphasizes technological innovation and policy discussion but lacks localized, quantitative analysis of AI utilization, user awareness, and measurable impact. There is a need for structural statistical evaluation of AI adoption and its effectiveness in real-world settings.
Key words
Adoption, Utilization, Impact, Artificial Intelligence in Academic Institutions
https://doi.org/10.65494/pinagpalapublishing.328