Page 434 - AI for Good Innovate for Impact

AI for Good Innovate for Impact

assumptions, process mining provides valuable insights into how the RSD process operates in
practice. This retrospective analysis helps uncover systemic delays, inefficiencies, or deviations,
and supports a deeper understanding of the correlating elements—such as case characteristics,
institutional workload, or procedural factors—that influence processing times. Ultimately, the
goal is to use this knowledge to inform targeted improvements and policy decisions that
enhance the efficiency and fairness of the RSD process.

Once concluded, the AI-powered analysis combining the process mining findings and ML
modelling will be presented through a business intelligence report in the form of a Dashboard
or WebApp designed for a non-technical audience. The business intelligence report will
provide insights to UNHCR RSD managers on the possible root causes of delays and devise
strategies to tackle and prevent them. Predictive modelling will give managers the tools to
devise processing strategies to streamline RSD procedures, enhance the efficiency of the RSD
process and maximise the use of resources.

The projects will provide the UNHCR RSD Manager with the necessary information to develop
data-driven RSD processing strategies and implement necessary changes, including a re-
distribution of resources, to tackle and prevent bottlenecks in the future.

This project will contribute to the implementation of RSD procedures that are fairer, more
efficient, flexible and adaptable. It will enable refugees to more swiftly access safety, solutions
and live-saving services and contribute to the integrity of UNHCR’s asylum system.

Use Case Status: In development.

2�2 Benefits of the Use Case

Leveraging advanced technologies to identify and tackle bottlenecks in UNHCR’s RSD process
and improve the efficiency of RSD processing, will contribute to the following:
reducing the processing times for RSD procedures can facilitate improved access to essential
services and durable solutions (returning voluntarily home, integration to their new host
community and being resettled to third-country), helping to lift individuals out of poverty
and improve their overall quality of life, particularly those whose livelihoods depend on their
legal status. By streamlining the RSD process, this project can help integrate refugees into the
workforce more quickly, contributing to economic growth and development. This can also
reduce the economic burden on host countries and promote a more inclusive and sustainable
economy.

facilitating more timely and fair RSD decisions can ensure that all individuals, regardless of
their background, have equal access to international protection. By being recognised as
refugees, individuals and their families gain access to essential public services such education,
employment and healthcare, helping reduce the inequality gap.

utilising advanced technologies like AI and process mining fosters innovation helps build
more efficient and effective institutions. The project seeks to strengthen UNHCR’s ability to
carry out RSD. In turn, the approach can serve as a model for other processes impacting
forcibly displaced populations, including State asylum systems. The project can promote the
adoption of similar technologies to improve asylum-related processes, and thereby promote
the effectiveness of institutions tasked with facilitating access to international protection and
upholding individual rights.

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