AI Applications in Investigative Journalism

Introduction Investigative journalism plays a critical watchdog role in holding power to account, and AI tools — ranging from automated document parsing to Large Language Models — are both enhancing and complicating that role. While AI systems can make investigations more efficient and scalable, they are not uniformly adopted due to constraints such as data quality, technical expertise, source confidentiality, economic resources and global inequalities. At the same time, AI companies and technologies themselves are becoming a subject of investigation, requiring journalists to scrutinize opaque algorithmic systems and powerful technology actors. Understanding these dynamics is essential for practitioners, researchers and industry leaders seeking to responsibly integrate new tools into investigative workflows while preserving journalistic integrity, independence and impact.

CNTI’s AI and Journalism Research Working Group examined how artificial intelligence (AI) is reshaping investigative journalism, drawing on a review of 44 recent academic and industry studies. This briefing synthesizes global research to assess both the opportunities and structural challenges AI introduces into investigative reporting.