A new research report reveals a critical gap in how media organizations are dealing with artificial intelligence (AI) technologies, indicating that current regulatory policies are largely skewed towards formulating broad principles and general values. The report suggests that there is a neglect of providing practical guidance and operational protocols that journalists need in their day-to-day field practices. Instead of focusing solely on theoretical concepts, there is a pressing need for actionable frameworks that can be integrated into the actual workflow of newsrooms.

The findings are presented in the third briefing from the 'AI and Journalism Research Working Group,' which is a research arm of the Center for News, Technology & Innovation (CNTI), an independent and non-profit global research organization based in New York. The CNTI aims to bridge the gap between policymakers in technology and leaders of media institutions, striving to ensure a sustainable future and independent journalism during this digital transformation era. This focus aligns with the ongoing shifts in the media landscape due to increased reliance on AI technologies.

The report, which is based on a comprehensive analysis of newsroom policies in early 2026, notes that while many organizations have rushed to adopt documents emphasizing concepts such as 'transparency,' 'accuracy,' and 'human accountability,' these documents often lack substantive practical guidelines. The inconsistency between high-level principles and on-the-ground operational needs poses a significant challenge for journalists, signaling an urgent call for a reevaluation of existing policies to create a cohesive and effective approach to integrating AI into journalism.