Israeli AI System Detects Potential Terrorists Via Smartphone
Translated & summarized from Vesty by baba
Israeli company SDS has launched TruthAI, an AI-powered smartphone system designed to detect potential terrorists by analyzing user reactions to questions. The technology aims to address aviation security gaps, particularly threats from within the cockpit, building on earlier sensor-based systems. Despite potential applications in Israel, the system faces international hurdles due to privacy laws and a significant rate of false positives and negatives.
The story in 5 lines · by baba
- Israeli company SDS developed TruthAI, an AI system to detect potential terrorists via smartphone analysis.
- The system analyzes psychophysiological and cognitive reactions to questions, flagging suspects within minutes.
- TruthAI aims to enhance aviation security, especially concerning threats originating from within the cockpit.
- The technology faces international resistance due to privacy laws and a notable rate of false positives and negatives.
- Israel is considering using the system for pre-screening foreign airline crews.
An Israeli company, SDS, has developed an artificial intelligence system called TruthAI that aims to identify potential terrorists by analyzing individuals' reactions to questions asked via smartphone. The system, which requires no physical contact, processes psychophysiological and cognitive responses within minutes, flagging possible suspects. This development comes in the wake of an incident on a Flydubai flight to Israel, which highlighted concerns about aviation security, particularly threats originating from within the cockpit.
The TruthAI system builds upon earlier technology, COGITO, which was developed after the 9/11 attacks with funding from the U.S. Transportation Security Administration (TSA). Unlike COGITO, which required physical contact with sensors, TruthAI operates contactlessly through a mobile application. SDS claims its system leverages two decades of experience from intelligence agencies, police, and airlines to create a software model deployable on any mobile phone.
While SDS has been selected for a project by Israel's Ministry of Finance for contactless security checks at future border crossings, the technology faces significant challenges. The system has a 4% false positive rate, meaning innocent employees might undergo further scrutiny, and a 10% false negative rate, allowing potentially malicious individuals to pass undetected. These figures are considered substantial when screening large numbers of crew members.
Internationally, the adoption of such technology is hindered by privacy concerns and regulations. In the U.S., psychophysiological screening technologies have faced resistance and limitations. In Europe, the GDPR and the EU AI Act classify AI systems analyzing emotions and psychological states as unacceptable risk, effectively prohibiting their use in public spaces and workplaces. In contrast, East Asian countries like Singapore and China have implemented similar surveillance and analysis systems more readily, prioritizing security over individual rights.
Israel, with greater legal and public latitude in counter-terrorism efforts, is considering requiring pre-screening for foreign airline crews as a condition for landing permits. However, due to the international resistance and privacy concerns, the widespread adoption of TruthAI as a global aviation security standard remains uncertain, with potential implementation limited to specific countries or companies operating within their local legal frameworks.
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