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The Ethical Implications of AI in Education: Privacy, Bias, and Accountability

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Ethics and Social Impacts of AI Artificial Intelligence in Education Artificial Intelligence in Healthcare and Education

Abstract

As artificial intelligence (AI) technologies become more prevalent in education, their influence on privacy, fairness, and responsibility is under increasing scrutiny. This paper investigates the ethical implications of AI in educational settings, specifically examining concerns about student privacy, potential biases embedded in AI systems, and the accountability structures necessary to manage AI responsibly. The paper advocates for proactive policies and practices that prioritize ethical standards, thereby ensuring AI serves as a tool for equity and improved learning outcomes rather than one that exacerbates existing inequalities.

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References

2024Navigating the ethical terrain of AI in higher education: Strategies for mitigating bias and promoting fairness 2024Ethical Considerations in the Integration of Artificial Intelligence in Education: An Overview

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2025Comparative Examination of Master’s Students’ and Faculty Members’ Maintenance of Academic Integrity in the Age of AI

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