Abstract The European Union (EU) text and data mining (TDM) provisions are a progressive move, but the horizon is still uncertain for both generative artificial intelligence (GenAI) models researchers developers. This article suggests that to drive innovation further commitment digital single market, during national implementation, EU Member States could consider taking Japanese broad, all‐encompassing “nonenjoyment‐based” TDM as an example. “nonenjoyment” purposes, however, not foreign...

Some generative AI (GenAI) companies have acquired the power to extract copyright-protected works from anyone in their orbit without prior authorisation. These monopolistic abuses could potentially disrupt market for these copyrighted works, hence grounds several lawsuits US, EU and UK. Indeed, creative industry will be greatly affected by this phenomenon, let alone rightsholders Global South including Association of Southeast Asian Nations (the ASEAN) who been suffering ineffective...

Abstract To achieve a balance between rightsholders and the public in age of generative AI (GenAI), it is necessary to redefine concept interest copyright law. This equilibrium critical because guarantees that are rewarded for their work while also allowing dissemination access knowledge along with cultural expression. Additionally, redefining could address emerging issues such as fair use, open democratization information digital age. The article examines how would look development GenAI by...

Abstract To balance generative AI (GenAI) innovation with the protection of copyright for authors and performers, it is necessary to recalibrate concept “public interest.” This recalibration crucial ensure that performers receive fair equitable remuneration their contributions while facilitating public access knowledge cultural expressions. Such a redefinition also aimed at addressing current challenges, including use, open access, democratization information within industry. Drawing on...