AI-driven lie detectors are systems that use artificial intelligence (AI) algorithms to analyze various forms of data, such as speech, text, or video, in order to detect deception. These systems can use a variety of techniques, such as natural language processing (NLP), behavioral biometrics, and machine learning, to analyze the data. The accuracy of AI-driven lie detectors can vary depending on the specific system and the data it is analyzing. Some systems may be more accurate than others, but overall, the accuracy of AI-driven lie detectors is still a subject of ongoing research and debate in the field.
On 19 October, UNOCT International Hub on Behavioural Insights to Counter Terrorism, in partnership with United Nations Regional Centre for Preventive Diplomacy for Central Asia (UNRCCA), the Government of Tajikistan, the Government of the State of Qatar, the Organization for Security and Co-operation in Europe (OSCE), and the UNOCT Countering Terrorist Travel Programme, organized a side event to introduce the behavioural insights approach and discuss its application to border security. Diana Nowek had the pleasure to share her experience and expertise in behavioural technology.