Civil Law Implications of Artificial Intelligence Training Using Copyrighted Data: A Case Study Of Thomson Reuters Vs. Ross Intelligence
Wulan Azalia Zanzabila · Pakistan Journal of Life and Social Sciences (PJLSS) · 2024
The development of Artificial Intelligence (AI) technology has had a significant impact on various fields, including law.One important aspect of AI development is the use of large amounts of data, often copyrighted data.This research analyzes the legal implications of using copyrighted data in AI training, focusing on the Thomson Reuters vs. ROSS Intelligence case study.This research uses normative legal methods with statutory, case study, comparative law, and conceptual approaches.The results show that ROSS Intelligence's use of copyrighted data, such as headnotes and key number systems, to train their AI violates the principle of copyright protection.The arguments raised by ROSS regarding transformationality and the fair use doctrine cannot be justified, as the use of the data substantially affects the economic value of the original work and does not create significant new value.This study also confirms the need for clearer regulations regarding using copyrighted data in developing AI technologies, including transparent licensing mechanisms and limitations on data use.This study makes an important contribution to understanding the legal challenges in the era of artificial intelligence by highlighting the need to balance copyright protection and technological innovation.The research results will guide policymakers, technology developers, and copyright holders to create a fair and adaptive legal framework.