MU educators are solely responsible for determining grades per assignment and assessment without the use of AI. While AI offers opportunities to help provide feedback and enhance aspects of the student learning process, there must be clear accountability for grading decisions. Automated systems may introduce biases and obscure the reasoning behind grades which would compromise the fairness our students deserve.
All MU educators who choose to use MU-approved and data safe artificial intelligence tools to assist with customized feedback on student work are expected to adhere to the following principles and steps: know AI’s limitations, be transparent, and maintain human oversight. All AI-assisted summative feedback requires human oversight and validation to ensure ethical feedback. This requires:
- Configuring clear evaluation criteria using data-protected MU-approved tools.
- Pre-assessing AI output on sample work, review for accuracy and consistency.
- Reviewing correct AI output; keep a record (human and AI)
- Delivering feedback with attestation of human evaluation and human grade determination.
MU educators are encouraged to accommodate student requests to opt out of AI-assisted feedback. All educators considering AI-assisted feedback options are expected to stay up to date with technology through campus programs and training.
Reference
Refer to the Faculty Handbook for the full, most up-to-date version of this policy (section XIV, article J, Additions to the Faculty Handbook).