Toward Digital Well-Being: Using Generative AI to Detect and Mitigate Bias in Social Networks

Recent research explores how machine learning and generative AI can be leveraged to detect and mitigate bias within social networks, addressing the challenge of unlearning ingrained prejudices. By employing advanced AI models, such as generative adversarial networks (GANs) and natural language processing techniques, the study demonstrates potential methods for identifying biased content and promoting more equitable online interactions. This development signifies a crucial step toward enhancing digital well-being by fostering fairer social media environments through targeted bias reduction strategies.