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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM41387
Volume:
9 |
2 |
Feb 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
The growth of online platforms has led to an increase in harmful content, such as hate speech, fake news, and explicit images. While traditional content moderation techniques are human-centric, they struggle to scale effectively. Generative AI presents an opportunity to automate and enhance content moderation, offering efficiency at scale. However, generative AI models must be designed to detect harmful content while ensuring fairness and ethical behavior, avoiding biases and over-censorship. This paper explores the challenges of using generative AI for content moderation, focusing on bias detection, fairness frameworks, and solutions to prevent harm.
KEYWORDS
Publication Date
8/1/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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No funding information available for this research.
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