The Perils of Bias
Navigating Ethical Challenges in AI-Driven Politics
Bibliographic Data
| ID | 11104144 |
|---|---|
| Authors | Yue Dong (0000-0002-1889-6082, Nanjing Normal University), Yuran Dong (0000-0001-5591-1360, Nanjing Normal University), Jie Guo (0000-0002-3661-224X, Nanjing Agricultural University, corresponding author) |
| Year | 2025 |
| Volume | 57 |
| Issue | 5 |
| Pages | 749-773 |
| Publication date | 2025-05-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Administration & Society (JOURNAL) |
| Journal identifiers | ISSN: 0095-3997 • E-ISSN: 1552-3039 |
| Publisher | SAGE Publications (PUBLISHER • US) |
| DOI | 10.1177/00953997251327162 |
| OpenAlex | W4408803252 |
| Language | EN |
| Citations received | 1 |
| References cited | 21 |
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
Confirmation bias · Democracy · Diversity (politics · Economics · Engineering ethics · Environmental ethics · Epistemology · Law and economics · Political science · Politics · Positive economics · Sociology · Ethics and Social Impacts of AI · Explainable Artificial Intelligence (XAI · Law · Law, AI, and Intellectual Property · Psychology · Social Psychology
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| Unique citing works | 1 |
|---|---|
| Citations per year | 1 |
| Citation span | 2026 - 2026 (1) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 1 |