US EditionNearly 150 Retired Judges Back Anthropic in Lawsuit Over Pentagon Risk Label
Nearly 150 retired judges support Anthropic’s legal challenge against a rare Pentagon 'supply chain risk' label that could cost billions, citing procedural and free speech concerns.
- Nearly 150 retired federal and state judges filed an amicus brief supporting Anthropic's lawsuit against the Trump administration for labeling it a 'supply chain risk,' which could impact the company's military contracts.
- Anthropic was labeled a supply chain risk after refusing to allow its AI technology to be used for autonomous weapons or domestic surveillance, leading to halted federal contracts and legal challenges.
- The Trump administration defends the designation as justified based on national security concerns and contractual matters.
- Anthropic contends the designation is unlawful, violating free speech and due process rights, and has filed lawsuits challenging the decision.
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To justify its decision to classify Anthropic as a "at-risk" company, the US government is concerned that "to allow Anthropic to continue to access its technical and operational infrastructure for the conduct of military operations would introduce an unacceptable risk into its supply chains".
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KESQNearly 150 retired federal and state judges filed an amicus curiae brief Tuesday in support of AI company Anthropic in its lawsuit against the Trump administration for designating it as a “supply chain risk,”…
Former judges side with Anthropic and raise concerns about Pentagon’s use of supply chain risk label
Nearly 150 retired federal and state judges have filed an amicus brief on Tuesday supporting AI company Anthropic in its lawsuit against the Trump administration for designating it a “supply chain risk,” CNN has learned.
Anthropic ban heralds new era of supply chain risk — with no clear playbook
The Trump administration’s decision to ban AI company Anthropic from Pentagon assets and other government systems as a “supply chain risk” could force CISOs into a position few have faced before: preparing to identify, isolate, and potentially remove a specific AI technology from across their organizations without a clear understanding of where it resides or how deeply it is embedded. While the administration is defending the designation in fede…
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