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Case Study 10: Allegations of Political Loyalty Tests in Layoff Decisions

Executive Summary
This case study investigates alarming allegations that the Department of Government Efficiency (DOGE)
utilized artificial intelligence (AI) and data-monitoring systems to assess the political loyalty of federal employees
as a criterion for continued employment. According to multiple reports, civil servants were surveilled through
internal communications, emails, and metadata analysis, leading to administrative leaves and terminations based
on inferred disloyalty rather than performance. The deployment of AI-driven surveillance technologies for
ideological filtering raises significant legal and ethical concerns, including violations of employee privacy, due
process, and the long-standing norm of a politically neutral federal workforce.
Background
DOGE was established with the mandate to streamline federal government operations and eliminate
inefficiencies. However, beginning in late 2024 and escalating into 2025, civil liberties advocates and former
federal employees began reporting instances of targeted terminations that appeared ideologically motivated.
An investigative report published by news.com.au revealed that AI tools had been deployed to monitor emails,
digital behavior, and internal chats of federal staff for markers of perceived political disloyalty. Red flags
allegedly included criticism of the administration, references to whistleblowing statutes, and support for
unionization. Employees flagged by these systems were often placed on administrative leave or dismissed
without a clear explanation.
This surveillance strategy, reportedly led by DOGE in collaboration with new executive oversight units,
effectively constituted a politicized loyalty screening process—undermining civil service protections enshrined
in federal law.
Case Evaluation
The alleged use of AI-based political loyalty tests as a basis for employment decisions has wide-ranging
implications for civil liberties, governance integrity, and institutional trust:
1. Violation of Privacy and Free Speech Rights: The use of AI to monitor lawful internal
communications without consent or transparency contravenes basic rights to privacy and freedom of
expression, particularly when used for punitive purposes.
2. Undermining Civil Service Neutrality: One of the core tenets of the U.S. civil service system is
political nonpartisanship. Ideologically driven purges dismantle this foundation, creating a workforce
vulnerable to political manipulation and coercion.

3. Chilling Effect on Whistleblowing and Dissent: The fear of surveillance and reprisal has reportedly
discouraged employees from reporting misconduct, proposing dissenting policy views, or engaging in
protected union activity.
4. Erosion of Institutional Oversight: The centralization of monitoring power within DOGE, coupled
with limited external oversight, has weakened the checks and balances designed to protect the
professional integrity of government institutions.

Proposed Solutions
To address the risks associated with ideological monitoring and protect the integrity of federal employment, the
following reforms are necessary:
1. Immediate Suspension of Surveillance Programs: Enact a government-wide moratorium on the use
of AI tools for employee surveillance without legal review and public disclosure.
2. Independent Oversight Investigations: Launch a bipartisan congressional investigation into the
alleged use of loyalty metrics and AI monitoring in DOGE's employment decisions.
3. Legal Protections for Digital Expression: Expand statutory protections for internal
communications and explicitly prohibit the use of metadata as grounds for employment action unless
tied to verified misconduct.
4. Civil Service Protection Reform: Strengthen existing civil service laws to create explicit barriers
against ideologically motivated dismissals and to codify digital privacy rights for federal employees.

Conclusion
The alleged deployment of AI tools to enforce political loyalty within the federal workforce represents a
profound threat to democratic norms and administrative impartiality. Even if conducted under the guise of
efficiency, such practices blur the lines between governance and authoritarianism. If left unaddressed, these
developments could permanently alter the nature of public service, silencing dissent and subordinating expertise
to ideological conformity.
Recommendations
To restore public trust and reassert the principles of impartial governance:
Short-Term: Enact emergency data privacy standards across all federal agencies and suspend DOGE's
surveillance-related directives.

Medium-Term: Pass legislation creating an independent Civil Liberties Review Board to audit digital
practices within federal departments.
Long-Term: Amend the Civil Service Reform Act to explicitly prohibit algorithmic or political
surveillance as a basis for employment decisions.

Implementation
Congressional Action: Convene oversight hearings on the misuse of AI and data surveillance in
employment contexts and recommend statutory remedies.
Inspector General Reviews: Direct all agency inspectors general to audit recent layoffs for evidence
of ideological filtering or algorithmic bias.
Public Transparency: Require federal agencies to publicly disclose the criteria and technologies used
in workforce evaluations and employment terminations.

References
● News.com.au. (2025). Be careful what you say, what you type, and what you do: Elon Musk’s creepy
White House act. Retrieved from https://www.news.com.au/technology/online/be-careful-what-you-say-what-you-type-and-what-you-do-elon-musks-creepy-white-house-act/news-story/1b83018bd192dbe9544699e6d86beda8