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United States of AI Ethical Policy - Borders and Belonging: Immigration Policy in the Age of AI

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United States of AI Ethical Policy - Borders and Belonging: Immigration Policy in the Age of AI

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A Civic Brief from Future in Common

Part of the series: “The United States of AI: An Ethical Policy Platform for American Workers”

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What This Brief Covers:

AI is transforming how governments manage borders, migration, and belonging. But in the wrong hands, these tools can deepen surveillance, strip away due process, and threaten the dignity of those seeking a better life.

This timely civic brief examines how AI is reshaping immigration—from facial recognition at borders to algorithmic risk scoring in asylum cases. It calls for a new approach: one rooted in human rights, transparency, and democratic accountability.

What You’ll Learn:

• Where AI is already being used in immigration and border enforcement

• The risks these technologies pose to fairness, safety, and civil liberties

• What a worker-centered, human dignity–driven immigration policy could look like

• Recommendations for elected officials, advocates, and everyday voters

Who It’s For:

• Immigrant rights advocates and organizers

• Policymakers and local leaders facing AI-related decisions

• Voters and educators looking to understand the stakes

• Anyone who believes technology should never override human dignity

Why It Matters:

AI shouldn’t determine who belongs. We need immigration policy that reflects our values—not just our code. As powerful tools become embedded in the systems that define our borders and our neighbors, the time to act is now.

Download includes:

PDF of the full civic brief formatted for easy sharing.

License & Use

This brief is copyrighted © 2025 by Deion Lemelle / Future in Common.

The ideas are meant to be shared, adapted, and built upon.

Please do not republish the full document without permission.

You’re welcome to cite, quote, or use the concepts with attribution.

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PDF of the full civic brief formatted for easy sharing

Size
12.2 MB
Length
12 pages