Musk’s X poses “serious risk to Americans’ privacy,” advocates warn FTC

· Source: AI - Ars Technica · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Cybersecurity & Data Privacy · Depth: Intermediate, medium

Summary

Privacy and consumer protection advocates are urging the Federal Trade Commission (FTC) to reject X's bid to terminate an ongoing order mandating independent audits of its data handling, ahead of a July 2 deadline for public comments. The initial 2022 order stemmed from Twitter's improper sharing of user contact information for ad targeting. X, rebranded by Elon Musk, argues the order imposes burdensome costs, is duplicative of GDPR obligations, and is unnecessary due to platform changes. However, 15 advocacy groups, including the Electronic Frontier Foundation, contend that Musk's changes, particularly X's AI training practices and the Grok chatbot, heighten privacy risks. They cite global backlash to Grok, a lawsuit alleging CSAM generation, a 2025 leak of 2.8 billion records, and X's collection of "hundreds of millions of posts" for AI training without explicit user consent. Cambridge Analytica also claims X's AI business model mirrors its own "surveillance capitalism." Former US Attorney General William Barr supports X, citing excessive FTC demands.

Key takeaway

For legal professionals advising tech companies on data privacy compliance, recognize that platform rebranding or new AI initiatives do not automatically invalidate existing regulatory consent orders. Your organization's explicit user consent mechanisms for AI training must be robust and transparent, as merely updating terms of service is insufficient and risks significant regulatory scrutiny and public backlash. Ensure your data handling practices, especially for AI, demonstrably exceed minimal compliance to avoid being deemed a "repeat offender."

Key insights

X's AI training and data practices intensify privacy risks, necessitating continued FTC oversight despite rebranding claims.

Principles

In practice

Topics

Best for: CTO, VP of Engineering/Data, Director of AI/ML, Policy Maker, Legal Professional, AI Ethicist

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Editorial summary, takeaway, and curation by AIssential. Original article published by AI - Ars Technica.