Document Type

Article

Publication Title

ISRG Journal of Arts, Humanities and Social Sciences

Abstract

This study systematically examines the portrayal of artificial intelligence (AI) errors, such as hallucinations and deepfakes, in journalistic contexts, evaluating whether these narratives reflect a broader existential anxiety about AI's role in reshaping journalism. Using a systematic literature review combined with a qualitative content analysis of recent AI-focused news reports, this study identifies recurring themes in media coverage to assess the accuracy and context of reported AI errors relative to actual technological limitations and affordances. Findings suggest that while AI errors are comparatively rare, they receive amplified coverage, often fueling public mistrust in AI technologies. Nevertheless, a balanced examination reveals that AI, when integrated responsibly, can complement journalistic workflows, enhancing accuracy and efficiency in fact-checking and data analysis. This study concludes that while media narratives contribute to a climate of exaggerated skepticism, AI’s potential to support rather than supplant journalism remains underexplored. Emphasizing ethical integration, oversight, and the preservation of human creativity, this work advocates for a nuanced approach to AI in journalism that supports both innovation and integrity.

Publication Date

4-8-2025

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