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AI (Artificial Intelligence) has emerged as a transformative tool that has revolutionized the things that we do daily. However, this rapid advancement in AI technology also raises ethical concerns that need to be addressed. This includes biases in the response of generative AI, interventions affecting the privacy of individuals, etc. Also, with easy access to emerging technologies like ChatGPT, Bard, DALL-E, etc., there has been a significant rise in the generation of fake content like fake images and deep-fake videos. Proper measures for the identification and validation of AI-generated content need to be established to minimize the circulation of false or fabricated information. Government regulations and public awareness are needed to ensure strict ethical practices in the content generated by AI. In this paper, a survey is conducted to collect human responses to a set of questions. The same questions are fed to AI tools to generate responses. These responses are then analyzed by various machine learning algorithms and studied on several parameters, like vocabulary richness, spelling errors, etc., to help detect whether the content is generated by AI or humans.
Kumar et al. (Thu,) studied this question.