AlgorithmWatch: Automation on the Move (Landingpage Preview)

Source URL: https://algorithmwatch.org/en/automation-on-the-move-clone/
Source: AlgorithmWatch
Title: Automation on the Move (Landingpage Preview)

Feedly Summary: Systems based on Artificial Intelligence (AI) and automated decision-making (ADM) are increasingly being experimented with and used on migrants, refugees, and travelers. Too often, this is done without adequate democratic discussion or oversight. In addition, their use lacks transparency and justification to those who are subjected to these systems, as a growing body of literature and evidence shows. This needs to change.

AI Summary and Description: Yes

Summary: The text discusses the “Automation on the Move” project initiated by AlgorithmWatch, which aims to scrutinize automated decision-making (ADM) systems in migration contexts. It highlights coalition building, evidence gathering, in-depth analysis, and policy recommendations vital for regulating the use of AI technologies that affect human mobility.

Detailed Description:
The “Automation on the Move” project is significant in understanding the impact of automated systems used in migration management and border surveillance. The aim is to challenge current practices and advocate for necessary reforms in regulation and oversight. The project’s approach encompasses several key elements:

* **Coalition Building**:
– The project promotes collaboration among various stakeholders, including civil society organizations, academics, and journalists, to address the complex issues surrounding the use of automated systems in migration.
– It participates in coalitions such as ProtectNotSurveil, aiming for joint efforts to create concrete policy measures while critiquing existing systems.

* **Evidence Building**:
– There is a focus on illuminating the opacity surrounding the use of automated systems in border surveillance and migration management.
– The project seeks to collect and analyze evidence concerning EU-funded research and the deployment of automated technologies in these areas.

* **In-Depth Analysis**:
– The project aims to provide comprehensive analyses of automated systems that are under-researched or inadequately addressed.
– A deep look into this sociotechnical landscape helps to identify trends and significant issues impacting individuals on the move.

* **Policy Recommendations**:
– Based on the gathered evidence and analyses, the project intends to formulate actionable recommendations for the policy and ethical use of AI and ADM in migration.

* **Methods of Implementation**:
– The project combines investigative journalism, literature review, case studies, and network-building strategies to achieve its goals.
– Led by project manager Fabio Chiusi, these efforts are designed to be coordinated with partner organizations to enhance their effectiveness.

* **Highlighted Projects and Initiatives**:
– The text also refers to various EU-funded projects focused on automating border security and migration processes, including AI and machine learning technologies aimed at enhancing surveillance and identity verification systems. Examples include AI-ARC, ANDROMEDA, and CRiTERIA.

* **Implications for Security Professionals**:
– This endeavor points toward pressing needs for enhanced security and ethical considerations surrounding the deployment of AI in sensitive areas like migration.
– Security professionals must remain vigilant about the transparency, oversight, and human rights implications of employing such technologies, ensuring compliance with evolving regulations and ethical standards.

This project underlines the imperative of analyzing how AI and automation influence migration policies and practices and highlights the importance of regulation and oversight in the deployment of such technologies.