ChatGPT and Academic Integrity Concerns: Detecting Artificial Intelligence Generated Content

Abstract

The rise of artificial intelligence (AI) has led to an increase in the creation of AI-generated content, such as text, images, and videos. However, this also poses a challenge in terms of detecting whether content is generated by a human or AI. Some concerns about academic integrity have been raised recently regarding ChatGPT. Another issue is whether we really need to reveal the creator(s) of the texts. This paper presents and discusses various tools and techniques that can be used to detect the source. The key focus is on the tools and strategies that can detect AI-generated content, such as copyleaks, Turnitin, metadata analysis, and stylometric analysis. The limitations of these tools are also discussed, including the possibility of manipulated metadata and the reliance on machine learning algorithms. The paper concludes that although there are limitations to these tools, they have important implications in various fields, including education, social media, journalism, and e-commerce. The paper provides a list of tools for AI detection, suggesting that this is an active and growing field of research. I discuss issues about academic integrity, whether AI-generated content is good or bad, and philosophically how we can deal with the emerging and disruptive technologies of the future.