The Ethics of AI-Generated Content: Combating Bias and Misinformation in Generative Models

Abstract

The development in AI has made it really easy for various models to generate contents like image, sound and text. AIGC have transformed the way in which various domains from media to entertainment develop and create content. The output generated from the AI model is highly realistic, leading to questions on whether it can be trusted or not. AI-generated media content has given rise to ethical issues related to bias and information. It has become important to take appropriate steps to mitigate these ethical issues for harnessing the potential of AI and minimizing the impact. This paper explores the methods and techniques that can be used to address the two ethical issues of bias and misinformation. Secondary information collected from online articles and peer-reviewed journals have been incorporated to provide the necessary discussion on the subject. The current methods and approaches have effectively been discussed in the paper which can help address the concerns and generate trustworthy content.