The politics of deceptive borders: 'biomarkers of deceit' and the case of iBorderCtrl
Javier S\'anchez-Monedero, Lina Dencik

TL;DR
This paper critically analyzes the iBorderCtrl system, which claims to detect deception through facial micro-expressions, revealing scientific flaws and highlighting its political implications in border governance and population management.
Contribution
It provides a critical assessment of the scientific validity of iBorderCtrl and discusses its political and social implications in the context of emotional AI and border control.
Findings
Bayesian analysis shows the model is unlikely to work in practice
The system's scientific assumptions are flawed and unvalidated
The project serves political functions beyond technical aims
Abstract
This paper critically examines a recently developed proposal for a border control system called iBorderCtrl, designed to detect deception based on facial recognition technology and the measurement of micro-expressions, termed 'biomarkers of deceit'. Funded under the European Commission's Horizon 2020 programme, we situate our analysis in the wider political economy of 'emotional AI' and the history of deception detection technologies. We then move on to interrogate the design of iBorderCtrl using publicly available documents and assess the assumptions and scientific validation underpinning the project design. Finally, drawing on a Bayesian analysis we outline statistical fallacies in the foundational premise of mass screening and argue that it is very unlikely that the model that iBorderCtrl provides for deception detection would work in practice. By interrogating actual systems in this…
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