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The Perils of Bias: Navigating Ethical Challenges in AI-Driven Politics

Yue Dong & Jie Guo

Administration and Society2025https://doi.org/10.1177/00953997251327162article
AJG 2ABDC B
Weight
0.46

Abstract

This essay examines the ethical challenges of AI-driven politics, focusing on political bias. It identifies two sources of bias: inherent technological bias in AI systems and bias introduced through human use. The study highlights the need for robust ethical frameworks to mitigate these biases and ensure political fairness. It explores the impact of AI on democratic processes, relevant ethical theories, and practical strategies for addressing bias, such as promoting diversity in AI development and regulatory oversight. The essay concludes that continuous ethical evaluation is essential for responsible AI integration in political contexts.

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https://doi.org/https://doi.org/10.1177/00953997251327162

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@article{yue2025,
  title        = {{The Perils of Bias: Navigating Ethical Challenges in AI-Driven Politics}},
  author       = {Yue Dong & Jie Guo},
  journal      = {Administration and Society},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.1177/00953997251327162},
}

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The Perils of Bias: Navigating Ethical Challenges in AI-Driven Politics

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Evidence weight

0.46

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.37 × 0.4 = 0.15
M · momentum0.60 × 0.15 = 0.09
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.