AI Tool Aims to Detect Terrorists in Cockpits After Flight Scare
Translated & summarized from Behadrei Haredim by baba
Following a foiled terror attempt on a flight to Israel, Israeli company SDS has developed TruthAI, an AI system for mobile devices that analyzes crew members' reactions to detect potential threats in the cockpit. The technology, which aims to prevent incidents like the Germanwings crash, faces challenges with accuracy rates and significant regulatory opposition in the US and Europe, though it is being considered for use in Israel.
The story in 6 lines · by baba
- Israeli firm SDS developed TruthAI, an AI system to detect potential terrorists in aircraft cockpits.
- The system analyzes cognitive and psychophysiological reactions to touchscreen interview responses.
- A recent incident on a Flydubai flight to Israel prompted renewed focus on cockpit security.
- TruthAI faces scientific challenges including a 4% false positive and 10% false negative rate.
- Regulatory opposition in the US and Europe hinders the adoption of such psychological analysis technologies.
- Israel is considering requiring foreign aircrews to undergo similar screenings.
A recent incident on a Flydubai flight to Israel, where a potential attack was thwarted by the pilot and passengers, has highlighted the vulnerability of civilian aviation to threats originating from within the cockpit. While ground security effectively screens for weapons, it cannot predict when a crew member, cleared through all security checks, might intend to crash the plane, as seen in past tragedies like Germanwings in 2015 and EgyptAir in 1999.
In response to this gap, Israeli security firm SDS (Suspect Detection Systems) has introduced TruthAI, an artificial intelligence-based system designed for mobile devices. The system conducts automated security interviews, with users responding to questions on a touchscreen. An algorithm analyzes cognitive and psychophysiological reactions to determine if the individual poses a risk. This technology, developed from systems created after 9/11, operates without physical sensors and is being considered for integration into Israeli border crossings.
Despite its potential, the technology faces significant scientific challenges. Its current accuracy rate includes a 4% false positive rate, meaning innocent individuals could be flagged as suspicious. More concerning is a 10% false negative rate, where individuals with malicious intent might pass the screening. Given the thousands of crew members screened daily, these figures are problematic.
Furthermore, the development confronts substantial international regulatory hurdles. The United States and Europe exhibit strong opposition to emotion-analysis and psychological profiling technologies, with strict laws like the EU AI Act effectively prohibiting their use in workplaces. In contrast, countries in East Asia, such as Singapore and China, have widely adopted such systems.
Israel is exploring the possibility of requiring foreign aircrews to undergo similar screenings as a condition for landing in the country. However, widespread global adoption of this "mobile polygraph" in aviation appears to be a distant prospect.
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