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 investigationsSupport the showDid you like this episode? Please leave us a review on Apple Podcasts.