Generative Artificial Intelligence and Legal Frameworks: Identifying Challenges and Proposing Regulatory Reforms

Abstract

This research paper seeks to understand the deficit arising from the generative AI and its potential in redefying various sectors and suggesting modification on the current laws. Generative AI systems can generate distinctive content which could be used in text, images, or music, among others, by training from the available data. It highlights how generative AI influences the legal profession in terms of work like contract writing, as well as how newer language models like GPT-4 and chatbots like ChatGPT and Gemini are evolving. Thus, while generative AI has numerous opportunities, it also raises concerns about ethical issues, authorship and ownership, privacy, and abuses, such as the propagation of deepfakes and fake news. This study focuses attention on the importance of strengthening the legal frameworks to answer the ethical issues and challenges linked to generative AI, such as deepfakes, piracy of contents, discriminative impact, or naked breaches of privacy. It calls for proper and sensitive use of generative AI through regulation, openness, and commonly agreed global guidelines. This paper emphasizes that innovations need to be balanced by a set of effective regulations to unleash the potential of generative AI and minimize potential threats.

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