Technology Procurement and Review
Use the District Technology Request Form for any AI-enabled tools. Evaluation criteria include:
- Accessibility (ADA, WCAG 2.2, Section 508)
- Instructional or operational relevance
- Privacy and security (FERPA/CCPA compliance)
- Equity and bias mitigation
- Cost-effectiveness and sustainability
- Ease of use and training availability
- Ethical alignment with district values
Evaluating AI Tools and Platforms
When evaluating an AI tool or platform for adoption in your classroom and/or in your work at the district and colleges, please consider the following essential questions:
- Does the tool meet all ADA, WCAG 2.2, and Section 508 standards for accessibility?
- Can it be accessed by all required users?
- Does the tool help students meet course learning objectives and gain new skills?
- Does the tool align with your course level and support educational or business objectives?
- How does it enhance teaching, learning, and/or administrative processes?
- 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 including collection, uses, and protection of student data?
- 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?
- Is the tool cost-effective, scalable, and sustainable?
- Does it avoid duplication of existing platforms?
- Is the the tool user-friendly and easily adopted by the intended audience, yourself included?
- Is there a plan for user training and ongoing support?
- 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 the tool adhere to current best practices for ethical standards of use? See, for example, Leon Furze’s Teaching AI Ethics.