Balancing Language Brilliance with User Privacy: A Call for Ethical Data Handling in ChatGPT

Roja Boina, Alekhya Achanta

Abstract: This article discusses the ethical concerns arising from the data collection and privacy practices of ChatGPT, a popular language model developed by Anthropic. While ChatGPT's impressive language generation capabilities have gained widespread recognition, its data handling practices have raised questions about user privacy and control. This paper advocates for a user - centric approach to data handling in ChatGPT, emphasizing transparency, consent, and user empowerment. By examining ChatGPT's current data practices, proposing solutions for user - centric data handling, and highlighting the benefits of such an approach, this paper underscores the importance of aligning AI systems with ethical principles to safeguard user privacy and trust.

Keywords: Centralized control, ChatGPT, Data Minimization, Ethical AI, User Empowerment