Other ways newsrooms are using AI in investigations (www.niemanlab.org)

Last month, a forum at The New York Times showcased how AI is revolutionizing investigative journalism, with approximately 150 participants, including journalists and technologists, exploring its applications and implications. Notably, a team from The Times won the Pulitzer Prize for Investigative Reporting with an audit on SEC crypto lawsuits, utilizing large language models (LLMs) for tasks such as document analysis and verification. This year, an unprecedented eight Pulitzer recipients disclosed AI usage, emphasizing AI's role in organizing and summarizing large document sets—a vital capability given the expanding volume of digital information. Key technical advancements highlighted include the Epstein Files Engine, developed by The Times, which utilizes a chat interface to enable reporters to navigate vast document collections, significantly enhancing their investigative capabilities. NPR also created an internal search tool to classify and manage documents, illustrating a trend toward AI-assisted document organization. Despite AI's potential, challenges such as issues with hallucination, the need for editorial judgment, and budget constraints were acknowledged. As AI tools like News Agent, a general-purpose chatbot tailored for newsroom needs, continue to evolve, they underscore the balance between technology's role in journalism and the indispensable value of human oversight and critical thinking.