Shaping Integrity: Why Generative Artificial Intelligence Does Not Have to Undermine Education
Myles Joshua Toledo Tan, Nicholle Mae Amor Tan Maravilla

TL;DR
This paper argues that generative AI, when ethically integrated into education, can support integrity, enhance learning, and foster motivation, challenging the notion that AI undermines academic honesty.
Contribution
It provides an ethical framework and educational perspective demonstrating how GAI can positively impact academic integrity and learning experiences.
Findings
GAI can promote digital literacy and genuine knowledge construction.
Responsible use of GAI supports ethical standards in education.
GAI enables personalized and enriching learning environments.
Abstract
This paper examines the role of generative artificial intelligence (GAI) in promoting academic integrity within educational settings. It explores how AI can be ethically integrated into classrooms to enhance learning experiences, foster intrinsic motivation, and support voluntary behavior change among students. By analyzing established ethical frameworks and educational theories such as deontological ethics, consequentialism, constructivist learning, and Self-Determination Theory (SDT), the paper argues that GAI, when used responsibly, can enhance digital literacy, encourage genuine knowledge construction, and uphold ethical standards in education. This research highlights the potential of GAI to create enriching, personalized learning environments that prepare students to navigate the complexities of the modern world ethically and effectively.
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Taxonomy
TopicsArtificial Intelligence in Healthcare and Education
