The best predictor of future behavior is past behavior.

Paul E. Meehl
team

Jelena Zumbach-Basu, Naja Heinis, Antonia Schubert, Fabian Gander, Layaly Maritz, Aline Gürtler, Jana Otzipka, and Lara Schwarz

Christian Ramelow

We are very excited to be starting a new project, funded by the SNSF. The project, titled “Disclosure of abuse and intrafamilial violence to ChatGPT and other chatbots” (2026–2030), led by Prof. Dr. Jelena Zumbach-Basu, investigates why young people disclose experiences of abuse and intrafamilial violence to AI-based chatbots and what outcomes these disclosures may have for victims. In two complementary studies, the project examines the prevalence, reasons, outcomes, and predictors of chatbot disclosures in about 2,000 young adults in Switzerland and Germany (Study 1) and evaluates chatbot responses to simulated cases with experts from forensic psychology, child protection, mental health, and law (Study 2). The project aims to generate evidence on the risks and opportunities of chatbots for vulnerable populations and to inform evidence-based recommendations for forensic practice, child protection, legal proceedings, policymakers, and technology developers. Read more here.

In the divison of Forensic Psychology, headed by Prof. Dr. Jelena Zumbach-Basu, we work on the application of psychological theories, methods and empirical findings to legal problems, many times linking developmental and criminological theory with applied forensic psychology. With our research, we aim for example at explaining and preventing aggressive, antisocial and criminal behavior, and at improving methods of forensic-psychological assessment in civil and criminal proceedings.

synergy
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