AI Resources
Comprehensive guides, tools, and support for responsible AI use at the University of Montana
Quick Access
Official UM AI Resources
These resources provide foundational policies, ethical frameworks, and teaching guidelines developed by UM faculty and staff.
UM Library AI Guide
Mansfield Library
Comprehensive background on AI technologies, key terms, ethical considerations, and research frameworks. Essential reading for understanding AI fundamentals.
Key Features:
- AI background & terminology
- Ethical frameworks
- Research methodologies
- Evaluative tools (ROBOT test)
- Curated book recommendations
Teaching with Generative AI
Center for Teaching Excellence
Practical guidelines for faculty on integrating AI into courses, including syllabus statements, policy frameworks, and conversation scripts.
Key Features:
- Syllabus statement templates
- Policy frameworks (3 levels)
- Student conversation scripts
- Academic integrity guidance
- Discipline-specific considerations
Faculty AI Resources
Provost Office
Core teaching principles for AI integration, academic integrity policies, and philosophical guidance on AI's role in higher education.
Key Features:
- Teaching philosophy with AI
- Academic integrity principles
- Student learning objectives
- Assessment strategies
- Professional development
UM AI Initiatives
Future Project Team
Strategic planning documents and initiatives exploring AI's impact on UM's teaching, research, and operations.
Key Features:
- AI strategy development
- Campus-wide initiatives
- Student & employer perspectives
- Curricular integration plans
- Future recommendations
UM AI Commitment
University Leadership
Our foundational document outlining UM's values-based approach to responsible AI adoption and integration.
Key Features:
- Core AI principles
- Ethical commitments
- Transparency requirements
- Equity considerations
- Environmental responsibility
Learning & Training
Self-Paced Learning
Tools & Technical Resources
Approved AI Tools
GuideComprehensive list of vetted AI tools with security, privacy, and cost analysis.
- Security reviewed
- Privacy compliant
- Cost breakdown
- Usage guidelines
Amplify GenAI Platform
PlatformUM's hosted AI platform providing secure access to multiple AI models.
- Multiple AI models
- University hosted
- FERPA compliant
- Free for UM users
Privacy & Security Guide
GuideData protection guidelines, FERPA compliance, and risk assessment frameworks.
- Data classification
- Risk assessment
- Compliance checklists
- Best practices
Support & Community
External Resources
Curated resources from leading institutions and organizations in AI education and research.
EDUCAUSE AI Resources
Higher education AI research and best practices
Partnership on AI
Collaborative AI research and policy development
AI Ethics Guidelines (IEEE)
Technical standards for ethical AI development
University of Michigan AI Resources
Leading research university's AI teaching framework
Chronicle of Higher Ed AI
Latest news and analysis on AI in higher education
MIT AI Ethics Course
Open courseware on AI ethics and society
Need Additional Resources?
Can't find what you're looking for? Our team is here to help you find the right resources or create new ones based on community needs.