AI in Ed Policies

As we all continue to ponder AI and how we might integrate it into higher ed in a meaningful, productive way, this week I would like to share a relatively new SoTL article that shares ideas on AI policies. The article is entitled, “Policies for Artificial Intelligence in higher education: A call for action” by Ally and Mishra (Fall 2024). The authors address the need for comprehensive AI policies in higher ed as AI adoption rapidly increases among students and faculty. Despite this growth, fewer than 10% of institutions globally have developed formal AI guidance.

Briefly, the state of AI in Higher Ed in November 2024, indicates that 22% of faculty and 49% of students were using AI in some form. Many academics have seen that AI can offer potential benefits including personalized learning, administrative efficiency, and support for remote students. In addition, knowledge graphs could create an informative dashboard to support student progress and customize learning experiences based on individual needs.

The authors identify 14 AI policy areas that could be addressed:

Policy areas Consideration

Tech access Provisions for access to AI for all stakeholders; digital divide issues

Data privacy Concerns related to data privacy discussed

Data security Issues related to security of data covered

AI ethics Including diversity, equity, and inclusion

Bias/Stereotypes Bias and stereotypes related to gender, race, etc. discussed

Teaching & learning Guidelines for dos and don’ts in teaching and learning

Academic integrity Concerns related to cheating in assignments, term papers, etc.

Transparency Issues related to lack of transparency of large language models

Training & develop  Provision of training for the faculty and staff to use AI tools effectively

Gender Issues related to gender in the context of AI tools covered

Disabilities Provisions for persons with disabilities are addressed Copyright/IP Copyright and IP rights issues related to AI tools

Environmental Concerns about the impact of AI tools on the environment

Cost/sustainability Can AI be used cost-effectively? Where will the funds come from?

The article outlines a systematic approach for institutions to develop and implement AI policies:

1. Assemble an institution-wide committee with AI knowledge and/or interest

2. Conduct workshops with all departments

3. Develop draft policies based on departmental input

4. Circulate drafts for feedback

5. Finalize policies

6. Conduct training sessions

7. Continuously monitor implementation and update as needed

References

Ally, M., & Mishra, S. (Fall 2024). Policies for Artificial Intelligence in higher education: A call for action, Canadian Journal of Learning and Technology, 50(3).