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The Ethical Implications of AI in Education: Privacy, Bias, and Accountability
2 references·1 citing·6 second hop
The Ethical Implications of AI in Education: Privacy, Bias, and Accountability (2024)The Ethical Implications of AI in Educati…Navigating the ethical terrain of AI in higher education: Strategies for mitigating bias and promoting fairness (2024)Navigating the ethical terrai…Ethical Considerations in the Integration of Artificial Intelligence in Education: An Overview (2024)Ethical Considerations in the…Comparative Examination of Master’s Students’ and Faculty Members’ Maintenance of Academic Integrity in the Age of AI (2025)Comparative Examination of Ma…Bias in data‐driven artificial intelligence systems—An introductory survey (2020)A Survey on Bias and Fairness in Machine Learning (2021)Ethics of AI in Education: Towards a Community-Wide Framework (2021)Using thematic analysis in psychology (2006)The Advantages and Disadvantages of Using Qualitative and Quantitative Approaches and Methods in Language “Testing and Assessment” Research: A Literature Review (2016)Academic Integrity considerations of AI Large Language Models in the post-pandemic era: ChatGPT and beyond (2023)
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References

  • 2024Navigating the ethical terrain of AI in higher education: Strategies for mitigating bias and promoting fairness84 cited
  • 2024Ethical Considerations in the Integration of Artificial Intelligence in Education: An Overview30 cited

Cited by

  • 2025Comparative Examination of Master’s Students’ and Faculty Members’ Maintenance of Academic Integrity in the Age of AI11 cited

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