ARTIFICIAL INTELLIGENCE (AI) AND ETHICS OF EDUCATIONAL RESEARCH

Abstract

Integrating Artificial Intelligence (AI) into educational research is rapidly advancing, offering innovative opportunities for personalized learning and data-driven insights. However, the ethical implications of AI use in education, including concerns about data privacy, algorithmic bias, transparency, and accountability, present significant challenges that must be addressed. This study examines the ethical dimensions of AI in educational research, focusing on how these technologies can be implemented in a way that respects ethical standards and promotes equity. Using a qualitative research methodology, it conducts in-depth interviews with key stakeholders, including educators, educational researchers, AI developers, and policymakers. Additionally, thematic analysis of relevant policy documents, AI ethics guidelines, and case studies provides a comprehensive understanding of the current ethical landscape. Through these methods, the research identifies prevalent ethical concerns and explores the perceptions and experiences of those directly involved with AI in educational settings. The findings reveal a widespread need for improved ethical oversight, highlighting issues such as inadequate data protection measures, the perpetuation of biases through AI algorithms, and a lack of transparency in AI decision-making processes. Participants emphasize the importance of involving diverse stakeholders in the development and deployment of AI systems to prevent these technologies from reinforcing existing educational inequities. The study concludes with recommendations for developing robust ethical frameworks and participatory approaches that include input from educators, students, and communities to guide the responsible use of AI in educational research. By prioritizing ethical considerations, this research aims to contribute to a balanced approach that harnesses AI's potential while safeguarding against its risks, promoting an equitable and ethical future for AI in education.