The Impact of AI on Decision-Making in Educational Management: Benefits, Risks, and Ethical Concerns
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Date
2024-11
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The British University in Dubai (BUiD)
Abstract
The integration of artificial intelligence (AI) in educational management is rapidly transforming decision-making processes within schools and institutions. This dissertation explores the impact of AI on decision-making in educational management, focusing on the benefits, risks, and ethical concerns associated with its use. AI technologies offer significant advantages, such as data-driven insights, improved efficiency, and enhanced predictive capabilities, which can support educational leaders in making more informed decisions. However, the adoption of AI also presents challenges, including potential biases in algorithms, privacy concerns, and the risk of an over-reliance on automated systems. Furthermore, ethical considerations such as fairness, transparency, and accountability are critical in ensuring that AI-driven decisions do not exacerbate inequalities or compromise the integrity of educational institutions. This study aims to provide a comprehensive analysis of the role of AI in educational decision-making, offering insights into both its potential benefits and the associated risks. By examining real-world applications and theoretical frameworks, the research contributes to the ongoing discourse on how AI can be ethically and effectively integrated into educational management.
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Keywords
artificial intelligence, educational management, decision-making, ethics, policy