The Perils of Bias: Navigating Ethical Challenges in AI-Driven Politics
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.
Authors
- Yue Dong (ORCID: https://orcid.org/0000-0002-1889-6082)
- Jie Guo (ORCID: https://orcid.org/0000-0002-3661-224X)
Institutions
- Nanjing Agricultural University (CN)
- Nanjing Normal University (CN)
Publication Details
- Journal
- Administration & Society
- Published
- 2025-03-23
- DOI
- https://doi.org/10.1177/00953997251327162
- Citations
- 4
- Primary Topic
- Ethics and Social Impacts of AI
- Type
- article
- Field-Weighted Citation Impact
- 9.46