The Scholarship Without Borders Journal
Abstract
The integration of Artificial Intelligence into educational policies has ushered in a new era of technological advancement and transformation in global education policies. As AI continues to expand, there is a growing need for educational policies that govern its utilization to ensure responsible implementation. This paper aims to explore the impact of AI utilization on educational policies, supported by economic theories and academic resources. With the rise of AI technology, there is an urgent call for regulatory frameworks that uphold ethical standards and safeguard against its misuse as there are currently no real educational policies surrounding AI. Within the realm of global education, where students, faculty, and staff all rely on the educational system for their daily lives, the development of these policies is necessary. Economic theories, such as trade-offs and market efficiency, provide valuable insights into the economic implications of AI integration into the field of education. By analyzing economic principles, policymakers can better understand the costs and benefits of AI utilization, as well as its potential to drive innovation and enhance productivity. Also, policies that promote ethical AI frameworks, continuous monitoring and improvement, global collaboration, and data privacy are essential for ensuring the effective utilization of AI in the field of education. Through evidence-based educational policies and lifelong learning initiatives, policymakers can address economic disparities and promote access to AI-driven educational resources. Overall, this paper aims to explain the economic implications of integrating AI into global educational policies and provide recommendations for policymakers to navigate this rapidly evolving landscape.
Recommended Citation
Sands, Jacob
(2025)
"Educational Policies Impacted by the Utilization of AI,"
The Scholarship Without Borders Journal: Vol. 3:
Iss.
2, Article 7.
DOI: https://doi.org/10.57229/2834-2267.1063
Available at:
https://digitalcommons.pepperdine.edu/swbj/vol3/iss2/7