Document Type
Article
Publication Date
Spring 1-4-2025
Publication Title
Harvard - Berkman Klein Center
First Page
1
Last Page
6
Keywords
Artificial Intelligence, Bias in Journalism, Media Ethics, Stereotypes, AI and Society, Journalistic Objectivity
Abstract
The advent of Artificial Intelligence (AI) in journalism has led to debates about the impact of AI bias, with critics arguing that AI systems perpetuate societal stereotypes and inequalities. Critics argue that AI systems, influenced by historical data and human biases, may exacerbate stereotypes, marginalize underrepresented voices, and skew news coverage, thereby reinforcing societal inequalities. However, this article contends that bias, while often considered detrimental, is an inherent aspect of journalism that has shaped news production for centuries. Drawing on a historical perspective, the article explores the relationship between bias and journalistic storytelling, arguing that bias can, if managed ethically, enhance the richness and relevance of news narratives. Therefore, the paper advocates for a balanced approach, recognizing AI's potential to identify and mitigate harmful biases, while preserving the human agency that makes journalism engaging and meaningful. In doing so, it questions the pursuit of a "perfect" AI system and urges the media industry to embrace bias in both AI-driven and human journalism.
Recommended Citation
Gregory Gondwe (2025) Is AI Bias in Journalism Inherently Bad? Relationship Between Bias, Objectivity, and Meaning in the Age of Artificial Intelligence. Harvard: Berkman Klein Centre.
