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"Experience with the EUMigraTool: A Journey to Florence, Italy - Kudwa Advocacy team"

Updated: Mar 20, 2023

As part of the advocacy team at Kudwa ORG, we recently had the chance to attend an interesting workshop event in Florence, Italy where the EUMigraTool platform was introduced. Representing Kudwa ORG, Kudwa ORG, a non-profit organization that promotes intercultural identity and active citizenship among Arabic-speaking migrants and refugees in Barcelona, we were eager to learn about the platform and its potential impact in the field of migration.

We participated in various discussions and workshops at the event, learning about the latest technological advancements and how they can be used for social good. Hearing about the innovative solutions other organizations are working on, and the positive impact they're making in their communities was truly inspiring.

The ITflows platform is aimed at first-line practitioners, second-level reception organizations, and municipalities. It provides modular solutions based on predicting migration flows and identifying risks of tensions between migrants and EU citizens.

How can we ensure the ethical use of this tool?

Ensuring the ethical use of a tool like EU MigraTool, which is designed to predict migration flows using online search data, is a complex and important challenge. There are a number of steps that can be taken to ensure that this tool is used in an ethical and responsible manner.

Ethical use of AI tools can be ensured through various steps and measures:

  • Regular monitoring and evaluation of the tool's performance and impact on society

  • Transparency and accountability in the development and use of the tool

  • Safeguards to prevent misuse or abuse of the tool

  • Knowing the main users of this technology and their purpose.

  • Measures to prevent bias and discrimination in the data and algorithms used by the tool

  • Testing and validation of the tool for fairness and impartiality

  • Accessibility for users and stakeholders to review the tool's underlying algorithms and data

  • Regular assessment of the tool's impact on reducing or perpetuating racial disparities.

  • Collaboration between various stakeholders, such as governments, corporations, and civil society groups, to promote ethical and responsible use of the technology.

  • Recruitment plan: eligibility criteria for research participants and the measures taken to verify the age and vulnerability of participants.

  • Incidental Findings Policy: procedures to be followed for unexpected findings, such as indications of criminal activity or human rights violations, or trafficking during the research process.

  • Protection of Personal Data: measures taken to ensure the anonymity of research participants and the secure handling of personal data.

  • Gender Policy: commitment of the tool to consider gender as a priority in project design, methodology, and analysis, and to promote gender equality and balance.

How can we address and minimize the risk of bias in the historical data used to train AI algorithms for MigroTooll?

  • Use diverse, and representative data sets to train the algorithms

  • Regularly review and assess data for potential biases

  • Implement algorithms that are designed to mitigate bias

  • Engage experts in fairness and bias to regularly review and evaluate the tool

  • Increase transparency in the decision-making processes of the tool

  • Provide opportunities for stakeholders to review and provide feedback on the tool's performance.

Minimizing the risk of bias in the historical data used to train AI algorithms for MigroTool is crucial for ensuring the tool's accuracy, impartiality, and ethical use.

We were considering questions to reflect and prevent bias and discrimination:

  • How does the tool consider cultural and economic factors in migration predictions?

  • How does the tool address gender migration?

  • How to evaluate the impact of EUMigraTool on society?

  • What role do stakeholders play in the ethical use of EUMigraTool?

  • How does EUMigraTool handle discovered bias?

  • How does EUMigraTool prevent bias in results or in the historical data?

We were considering questions to reflect on the misuse of the tool:

  • How to monitor and detect potential misuse of EUMigraTool?

  • How does EUMigraTool handle sensitive information?

  • Can specific countries use the tool to make decisions about their border policies?

  • How to establish transparency and accountability for EUMigraTool?

  • How can potential misuse of the EUMigraTool be prevented?

General question:

  • How to evaluate the impact of EUMigraTool on society?

  • Can users review EUMigraTool's algorithms and data?

  • How does the EUMigraTool compare to other predictors of migration flows?

  • What kind of training and education has been provided to the users of the EUMigraTool?

  • How has the EUMigraTool been received by its main users, such as first-line practitioners, second-level reception organizations, and municipalities?

  • What is the future plan for the EUMigraTool platform, and how will it continue to improve its performance and impact?

The EUMigraTool platform uses evidence-based ICT solutions and precise models that are continually validated by policy-makers and practitioners in cooperation with civil society organizations. Kudwa's involvement in testing the platform highlights the organization's commitment to promoting active citizenship, initiative, and community among migrants and refugees.

EUMigraTool is, or can be, a valuable asset for those involved in the field of migration. Kudwa's involvement in testing the platform showcases the organization's dedication to making a positive impact in the lives of migrants and refugees.

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