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Reading: DOGE Implements AI Surveillance, Cuts 222,000 Federal Jobs in March
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DOGE Implements AI Surveillance, Cuts 222,000 Federal Jobs in March

Highlights

  • DOGE cuts 222,000 federal jobs using AI for efficiency.

  • AI surveillance raises significant privacy and trust concerns.

  • Critical research sectors face jeopardy due to workforce reductions.

Kaan Demirel
Last updated: 14 April, 2025 - 9:49 pm 9:49 pm
Kaan Demirel 4 weeks ago
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The Department of Government Efficiency (DOGE) has initiated significant workforce reductions, eliminating approximately 222,000 federal positions in March. This move comes amid a broader strategy to incorporate artificial intelligence into government operations, raising concerns about privacy and job security among federal employees. The extensive layoffs are particularly impactful in critical sectors such as artificial intelligence and semiconductor development, areas deemed essential for maintaining national competitiveness.

Contents
AI-Powered Surveillance: Risks and Implications?What’s at Stake for National Research?Is Confidential Data at Risk?

While similar workforce reductions have occurred in the past, the integration of AI for surveillance purposes marks a new phase in governmental restructuring. Previous cuts focused primarily on budgetary efficiency, but the current approach intertwines technology with personnel management, potentially setting a precedent for future government operations.

AI-Powered Surveillance: Risks and Implications?

DOGE’s deployment of Musk’s Grok A.I. to monitor federal employees introduces advanced surveillance capabilities within government agencies.

“Federal workers, long accustomed to email transparency due to public records laws, now face hyper-intelligent tools dissecting their every word.”

This technology raises significant privacy concerns, particularly as it may violate The Privacy Act of 1974, which restricts unauthorized access to agency records. The reliance on AI to evaluate employee loyalty could undermine trust in governmental institutions and lead to a surveillance state.

What’s at Stake for National Research?

The National Science Foundation (NSF) and the National Institute of Standards and Technology (NIST) are experiencing severe staffing cuts, jeopardizing critical research in artificial intelligence and semiconductor technologies. The NSF has reduced its workforce by over 150 employees, while NIST faces the elimination of nearly 500 positions, including those involved in the CHIPS Act’s incentive programs. These reductions threaten the foundational support necessary for innovation and technological advancement in the United States.

Is Confidential Data at Risk?

DOGE’s access to federal records and agency data sets poses a significant threat to data confidentiality. By allowing private actors to process sensitive government information, DOGE increases the risk of biased or inaccurate decision-making.

“There is no transparency around what data DOGE uses, which models it deploys, or how agencies validate the outputs.”

Without proper oversight, the integrity of government operations and public services could be compromised, raising questions about the accountability of AI-driven systems.

The introduction of AI surveillance combined with mass layoffs not only disrupts the workforce but also erodes public trust in government efficiency measures. Ensuring that AI tools are reliable and appropriately governed is essential for maintaining the balance between technological advancement and the protection of individual rights.

Effective implementation of AI in government requires stringent oversight and transparent policies to prevent misuse of data and ensure that technological tools support, rather than undermine, public service objectives. As DOGE continues its efforts to streamline operations, the potential consequences for both employee trust and national research capabilities must be carefully managed to sustain America’s leadership in critical technological fields.

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Kaan Demirel
By Kaan Demirel
Kaan Demirel is a 28-year-old gaming enthusiast residing in Ankara. After graduating from the Statistics department of METU, he completed his master's degree in computer science. Kaan has a particular interest in strategy and simulation games and spends his free time playing competitive games and continuously learning new things about technology and game development. He is also interested in electric vehicles and cyber security. He works as a content editor at NewsLinker, where he leverages his passion for technology and gaming.
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