AI-driven interviews with children may boost accuracy in witness accounts

AI-driven interviews with children may boost accuracy in witness accounts

In a first-of-its-kind study published in the journal PLOS ONE, an international team of researchers led by scholars from New York University Shanghai and Åbo Akademi University in Turku, Finland has explored the potential of artificial intelligence to assist in sensitive child investigative interviews. The study compared how effectively a Large Language Model (LLM), specifically ChatGPT, and untrained human interviewers were able to interview children about a mock event they witnessed. In a first-of-its-kind study published in the journal PLOS ONE, an international team of researchers led by scholars from New York University Shanghai and Åbo Akademi University in Turku, Finland has explored the potential of artificial intelligence to assist in sensitive child investigative interviews. The study compared how effectively a Large Language Model (LLM), specifically ChatGPT, and untrained human interviewers were able to interview children about a mock event they witnessed. Other Social Sciences Phys.org – latest science and technology news stories

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