Abstract
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.
Published Version
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call