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Artificial Intelligence in Higher Education: Legal Accountability and Best Practices for Upholding Student Privacy
Diana T Noller1,2, Amy E Thimesch1,2
1Diana T. Noller, DHSc, MMS, MSPT, PA-C, is a founding director and PA Program and associate professor at Austin College, Denison, Texas.
Summary
Artificial intelligence (AI) adoption in higher education requires responsible and ethical implementation. Institutions must collaborate to ensure AI use protects student privacy and upholds legal standards.
Area of Science:
- Educational Technology
- Artificial Intelligence Ethics
Background:
- Artificial intelligence (AI) is rapidly expanding across professions and institutions.
- Higher education is poised for significant AI integration in the near future.
Purpose of the Study:
- To outline the necessity for responsible and ethical AI adoption in higher education.
- To emphasize the importance of legal compliance and student rights protection.
Main Methods:
- Review of ethical considerations for AI in educational settings.
- Analysis of legal frameworks protecting student privacy and nondiscrimination.
- Exploration of interdepartmental collaboration strategies.
Main Results:
- Responsible AI integration necessitates adherence to existing laws and regulations.
- Protecting student privacy and ensuring nondiscrimination are paramount.
- Collaboration across institutional departments is crucial for ethical AI deployment.
Conclusions:
- Higher education institutions can leverage AI benefits by prioritizing ethical guidelines and legal compliance.
- Proactive collaboration and ethical awareness are key to safeguarding student rights during AI implementation.
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