Identification should include

• data accuracy
• data quality
• data completeness
• data bias
• privacy considerations
• security considerations
• user control (e.g., the importance of vetting AI sources)
• intellectual property (e.g., copyright) considerations
• liability issues
• adherence to acceptable use policies.