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

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.

Keywords

artificial intelligence political bias ethical challenges AI regulation bias mitigation

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