A guide to help you decide when, how, and why to incorporate artificial intelligence (AI).
When evaluating the appropriateness of an AI tool or platform for adoption at the college/district, please consider the following essential questions:
Educational Goals & Alignment
- Does the tool align with the college/district's educational or business objectives?
- How does it enhance teaching, learning, and/or administrative processes?
Ease of Integration & Return on Investment
- Is the tool compatible with existing systems and infrastructure?
- Can it seamlessly integrate into the college/district's ecosystem?
- Can it be used across multiple divisions/units/departments?
- Does it avoid duplication of existing platforms?
Data Privacy & Security
- Does the tool comply with relevant privacy laws (e.g., CCPA, FERPA, HIPPA)?
- Does it use secure authentication methods and offer options for anonymity where appropriate?
- Are its policies on data usage transparent?
Bias, Equity & Ethics
- Are there processes in place to mitigate potential biases in the tool's algorithms?
- Can you verify equity in potential use and representation across diverse populations?
- Does it adhere to ethical standards?
Cost & Sustainability
- Is the tool cost-effective, scalable, and sustainable?
User Experience & Training
- Can the tool be easily adopted by faculty, staff, and/or students?
- Is there a plan for training and ongoing support?
Accessibility & Access
- Does the tool meet all ADA, WCAG 2.2, and Section 508 standards for accessibility?
- Can it be accessed by all required users?
Note
In conjunction with this resource, we recommend consulting the CCCCO Human-Centered Principles for Adopting Generative AI and the Oregon State University AI Decision Tree.Artificial Intelligence Use & Adoption Considerations Version 1.0. October 24, 2024