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> Morehouse ai initiative | policies
Artificial Intelligence:
Artificial Intelligence:
Policies & guidelines
Morehouse College is building an AI-ready culture that elevates teaching, learning, and research across the liberal arts—grounded in responsible, human-centered AI that enhances (not replaces) academic rigor, critical thinking, and creativity.
Overview
Morehouse’s AI policies and guidelines prioritize integrity, transparency, and mission-aligned learning. During the 2024–2025 academic year, Academic Affairs established an Academic Policy Working Group to develop generative AI guidance for both student learning and faculty instruction, with representation across the institution (including HR and IT).
Student Guidance
Students are expected to use AI as a learning support—not a replacement for original thinking. Courses may define permitted and prohibited uses, and students should practice transparency by documenting tools used when required. Privacy is central: avoid uploading sensitive personal or institutional information into unapproved platforms. These expectations reflect Morehouse’s commitment to responsible, human-centered learning and academic rigor.
Faculty Guidance
Faculty are encouraged to make AI expectations explicit through clear syllabus language and assessments that emphasize process, critique, authentic work, and learning evidence. Morehouse’s approach centers ethical reasoning, inclusivity, and continuous improvement—using pilots, workshops, and shared governance to refine what responsible AI looks like across disciplines.
Staff Guidance
Morehouse College is committed to ensuring that all staff use artificial intelligence tools responsibly, securely, and in alignment with our institutional values. These guidelines apply to all staff and govern the use of any AI tool in the performance of College work, whether accessed through a College-provisioned account or a personal account. Staff are required to use only ITS-approved tools for College business and must never enter sensitive or confidential data, including student records, financial information, or personnel data, into any AI platform, free or paid. All AI-generated content must be reviewed and decisions must be made by a qualified human before it is submitted, shared, or acted upon, as accountability for any output remains with the individual employee. Questions about approved tools, data classifications, or appropriate use cases should be directed to the ITS Service Desk at servicedesk.morehouse.edu.
AI Policies
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IT Policy
Institutional Use & Data Stewardship
A central location for institution-wide guidance on appropriate AI tool usage, privacy expectations, and security considerations for campus operations.
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Generative AI Guidelines
Clear expectations for ethical and responsible use of generative AI for student learning and faculty instruction—built through a representative Academic Affairs Policy Working Group. Guidelines include core definitions, suggested syllabus language, and decision supports to help align AI use with course learning outcomes.
The AI Academic Policy Working Group consisted of Dr. Juana Mendenhall (Chair), Dr. Harold Bennett, Dr. Kinnis Gosha, Dr. Hideko Sera, Michael Johnson, Dr. Glynnis Johnson, Dr. H. Justin Ballenger, Dr. Kimberly Jones, and Dr. Martha Madkins.

STUDENTS/FACULTYSTAFF
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Academic Affairs AI Executive Briefing
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AI Reports
Annual / Semester Updates
A recurring update summarizing campus progress: policy and guidance development, faculty/staff training, student engagement, and major pilots and partnerships.
Institutional Use & Data Stewardship
A central location for institution-wide guidance on appropriate AI tool usage, privacy expectations, and security considerations for campus operations.
Clear expectations for ethical and responsible use of generative AI for student learning and faculty instruction—built through a representative Academic Affairs Policy Working Group. Guidelines include core definitions, suggested syllabus language, and decision supports to help align AI use with course learning outcomes.
The AI Academic Policy Working Group consisted of Dr. Juana Mendenhall (Chair), Dr. Harold Bennett, Dr. Kinnis Gosha, Dr. Hideko Sera, Michael Johnson, Dr. Glynnis Johnson, Dr. H. Justin Ballenger, Dr. Kimberly Jones, and Dr. Martha Madkins.

STUDENTS/FACULTY
STAFF
Annual / Semester Updates
A recurring update summarizing campus progress: policy and guidance development, faculty/staff training, student engagement, and major pilots and partnerships.