A visualization of Elon Musk’s political reinvention. A genealogical investigation that hinged on land grants from the mid-1800s. A visual forensics analysis that disproved the Israeli military’s narrative about killing two journalists. A years-long probe that produced a new database of people killed in the U.S. by police officers who used “less-lethal force.”
On May 5, the Pulitzer Prizes recognized these stories among its winners and finalists across 15 different journalism categories. For the second year in a row, the Prizes required that entrants disclose whether they relied on AI technologies. Each of these stories, which include one award winner and three finalists, disclosed AI usage to the judging committee.
Similar to last year’s cohort, generative AI tools were not well represented among these AI disclosures. Rather, reporters I spoke to who worked on these stories primarily used machine learning techniques that preceded the release of ChatGPT and rise of large language models (LLMs). Overall, many of the AI tools used this year count investigative reporters as their earliest adopters in newsrooms.
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