Teacher Professional Development in the Age of AI: Time to Prioritize Privacy and Accountability

Abstract

The integration of Artificial Intelligence (AI) in education has revolutionized teaching and learning processes, offering innovative tools that enhance instructional strategies and student engagement. However, as AI becomes increasingly embedded in educational systems, there arises a pressing need to prioritize privacy and accountability, particularly in teacher professional development (TPD). This paper explores the implications of AI in TPD, emphasizing the ethical considerations related to data privacy, the potential for bias, and the necessity of accountability mechanisms. Through a review of current practices and literature, this paper argues that while AI holds promise for transforming teacher education, it is imperative to establish robust frameworks that protect the privacy of educators and ensure responsible AI use. Therefore, it is crucial to establish robust frameworks that ensure responsible AI use in TPD. This includes implementing strict data protection protocols, promoting algorithmic transparency, and fostering ongoing dialogue among stakeholders to address ethical concerns proactively. While AI holds immense promise for transforming teacher education, its ethical implementation is crucial to harness its full potential while mitigating potential risks.