Officials, academics and tech vendors gathered on Avenue de La Boétie today for the fourth annual workshop on ‘Forecasting and New Technologies in Migration and Asylum Governance’, co-organised by France’s Directorate-General for Foreign Nationals and the European Migration Network (EMN).
Key themes. Delegates discussed using machine-learning models to predict asylum-application volumes six months ahead, blockchain for secure credential verification, and privacy-preserving analytics under the EU’s Artificial Intelligence Act. France showcased its prototype ‘VisaFlux’ dashboard that ingests airline booking data to anticipate peak demand at consulates three weeks in advance—reducing appointment backlogs for Tier-1 business visas by an estimated 12 % in test runs.
![Paris hosts EU workshop on AI forecasting for migration management]()
Implications for employers. Faster forecasting could smooth the Talent Passport pipeline by allowing préfectures to allocate staff seasonally. Companies sponsoring intra-company transferees might see shorter waiting times, but they will also face earlier document-submission deadlines as systems trigger auto-reminders.
Ethical guardrails. NGOs cautioned against algorithmic bias, urging transparent datasets and human-in-the-loop decision making. The French Interior Ministry said it would publish an impact-assessment template before scaling any predictive tool nationally.
Next steps. A technical working group will deliver interoperability standards to the Commission by March 2026, with France volunteering to lead a pilot involving Luxembourg, Belgium and Spain.
Key themes. Delegates discussed using machine-learning models to predict asylum-application volumes six months ahead, blockchain for secure credential verification, and privacy-preserving analytics under the EU’s Artificial Intelligence Act. France showcased its prototype ‘VisaFlux’ dashboard that ingests airline booking data to anticipate peak demand at consulates three weeks in advance—reducing appointment backlogs for Tier-1 business visas by an estimated 12 % in test runs.
Implications for employers. Faster forecasting could smooth the Talent Passport pipeline by allowing préfectures to allocate staff seasonally. Companies sponsoring intra-company transferees might see shorter waiting times, but they will also face earlier document-submission deadlines as systems trigger auto-reminders.
Ethical guardrails. NGOs cautioned against algorithmic bias, urging transparent datasets and human-in-the-loop decision making. The French Interior Ministry said it would publish an impact-assessment template before scaling any predictive tool nationally.
Next steps. A technical working group will deliver interoperability standards to the Commission by March 2026, with France volunteering to lead a pilot involving Luxembourg, Belgium and Spain.
