Privacy Laws and Leak of Financial Data in the Era of Generative AI
Nitish Kumar Ojha, Sanjeev Thakur · 2025
The epitome of current technology in the field of artificial intelligence (AI) as a subset is OpenAI which creates unique content with the available divergent data on the Internet; however, it is posing a big risk of privacy while exposing the personal data of users to everyone. The risk of privacy is so high that states are making strict rules for the use of social media as well as its usage by OpenAI for generating divergent content. The use of social media has always been plagued by widespread misuse of users’ personal information by leading companies. Groups like Meta Inc., Twitter Inc., and even ABC Inc. have faced international and national scrutiny over the illegal use of such information for monetary and popularity gains. This misuse has increased to such an extent that these companies have to face court proceedings from time to time. This chapter discusses the different compliance-based issues related to personal data in social media or available or another platform that is available openly. This chapter also presents the logical discourses that are presented in favor of these companies and their counter-logic, particularly from a jurisprudence point of view. ChatGPT is an artificially intelligent application that is able to make better use of the personal information of multiple users to deliver answers to user queries, and where the privacy policy demands “unlimited” use of user information. Following this strategy, this technology forces companies working in the field of social media and generative AI to violate those legal provisions that are formed to ensure the privacy of the users and thus it is a matter of deep concern for any country, person, or institution. This chapter discusses such kind of scenarios where social media and generative AI go hand in hand and may pose a bigger challenge to users’ privacy. Lastly, a comparative analysis has been presented of the status of different laws being exercised all over the world in many countries and also sheds light on those gray areas that need better research and innovation from the research community in this field.