Child Abuse, AI, and the Forensic Interview

In this episode of 'One in Ten,' host Teresa Huizar speaks with Liisa Jarvilehto, a psychologist and PhD candidate at Åbo Akademi University, about the positive uses of AI in child abuse investigations and forensic interviews. The conversation addresses the common misuse of AI and explores its potential in assisting professionals by proposing hypotheses, generating question sets, and more. The discussion delves into the application of large language models (LLMs) in generating alternative hypotheses and the nuances of using these tools to avoid confirmation bias in interviews. Huizar and Jarvilehto also touch on the practical implications for current practitioners and future research directions.

Time Stamps:

00:00 Introduction to the Episode

00:00 Introduction to the Episode

00:22 Exploring AI in Child Abuse Investigations

01:06 Introducing Liisa Jarvilehto and Her Research

01:48 Challenges in Child Abuse Investigations

04:24 The Role of Large Language Models

06:28 Addressing Bias in Investigations

09:13 Hypothesis Testing in Forensic Interviews

12:18 Study Design and Findings

25:54 Implications for Practitioners

33:41 Future Research Directions

36:49 Conclusion and Final Thoughts

Resources:

Pre-interview hypothesis generation: large language models (LLMs) show promise for child abuse investigations

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