This is the second of two articles based on presentations from EIM’s 2024 Faculty Development Symposium, "Innovate to Educate: Emerging Tech in Healthcare Pedagogy." Read the first.

The use of generative AI has introduced a transformative shift in higher education, offering unprecedented opportunities for innovation in teaching, learning, and research. However, with these advancements come significant ethical considerations that educators and institutions must address to ensure responsible use.

Ethical challenges include issues of academic integrity, data privacy, and the potential for bias in AI-generated content. By carefully examining these concerns and implementing robust guidelines, higher education can harness the benefits of AI while upholding the core values of academic excellence and fairness.

This article explores the ethical implications of AI in higher education and offers recommendations for its responsible integration into academic environments.

1. Ensuring Ethical Standards in AI Usage

In higher education, it is imperative to be aware of potential biases when incorporating AI. Since AI sources data from various texts and outlets, both AI software companies and higher education institutions must ensure transparency in the software’s algorithms to uphold academic integrity and eliminate potential biases.

Administrators and educators should collaborate to create clear guidelines on ethical AI usage that align with the institution’s mission and educational values.

2. Protecting Student Data Privacy

Protecting students' private information is a top priority in responsible AI implementation. Administrators must safeguard students' personal data by implementing robust privacy policies.

In the context of higher education, the use of AI must conform to the Family Educational Rights and Privacy Act (FERPA) to protect student privacy.

This means AI systems handling educational data must be designed and operated in ways that ensure the confidentiality and security of student information, adhering to FERPA's strict guidelines on data access and sharing.

3. Promoting Equity and Inclusion with AI

AI should be used to promote equity and inclusion in education. AI tools should be accessible to all students, regardless of their socioeconomic background, and should not exacerbate existing inequalities.

By harnessing AI, institutions can bridge gaps for students with diverse learning abilities or language barriers, providing additional academic support where needed.

AI and intellectual property expert Scott Slavick, partner at Barack Ferrazzano Kirschbaum & Nagelberg LLP, notes the capabilities of AI in creating equity, saying, “Generative AI can also contribute towards increased equity in education by somewhat leveling the playing field for students from non-English-speaking backgrounds.”

4. Maintaining Academic Integrity in the Age of AI

AI’s vast capabilities leave many administrators and educators concerned about potential misuse. There are shared concerns over AI’s abilities to provide answers for assessments such as quizzes and tests. Additionally, AI can generate creative content such as essays, poems, and more.

To maintain academic integrity, administrators should collaborate with faculty to create clear guidelines, rules, and ramifications for AI usage. Similarly, faculty members need to work with students to understand proper and ethical AI usage in the classroom.  AI expert Scott Slavick argues, “AI can be used as a tool to generate answers to theory-based questions and initial ideas for essays.”

Slavick continues, “But students should be mindful of the need to examine the credibility of generated responses given its advanced conversational skills.”

Students must be able to grasp the course materials on their own before using AI to further enhance their knowledge. AI should be used as a tool to aid the educational process, not to be a crutch to rely on.

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5. Understanding AI’s Capabilities and Limitations

Administrators, educators, and students alike should all be educated on the capabilities and limitations of AI.

Administrators and faculty should familiarize themselves with the latest technology and AI capabilities in faculty development seminars. This will help educators and administrators form guidelines on ethical AI use, and it will also help educators teach students how to incorporate AI into their educational process.

Students also need to be informed on the capabilities and limitations of AI. Students need to be comfortable leveraging AI to enhance their understanding of course materials.

6. Monitoring and Evaluating AI Usage

Faculty and administration should be tasked with monitoring AI usage to mitigate any negative or unwarranted effect on students.

AI systems and software should be regularly checked to ensure that it is accurate, unbiased, and being used with its intended goals in mind.

Faculty should regularly check in with students to ensure that they can address any issues and concerns. Similarly, administrators should check in with faculty to ensure that they are satisfied with AI usage.

7. Fostering Transparency in AI Implementation

Transparency is necessary to responsibly integrate AI into higher education. Higher education institutions should create an environment that promotes open discussion on ethical AI use.

Conversations about ethical AI use should include industry experts, administrators, faculty, and students. It is important to collaborate on complex discussions surrounding AI to ensure that all parties are leveraging technology responsibly.

In creating a safe space for open conversation around AI, higher education institutions can implement well-rounded policies to ensure that all parties and perspectives are seen and heard.

Responsible AI Integration in Higher Education

It is the role of higher education institutions to set clear and concise guidelines around ethical AI use. Higher education institutions must consider all facets of AI to ensure that academic integrity is upheld.

Factors such as student data privacy, equity, bias, and transparency must all be considered when incorporating AI into the educational process.

In reference to responsible future AI usage Slavick emphasizes, “Many experts argue that ethical AI is essential for a responsible future where we can focus on social good, sustainability and inclusion.”

When used responsibly, AI can transform the educational field, but as AI continues to evolve, it is imperative for administrators and educators to monitor AI and create a space for open discussion on its intended usage.

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