首页|Investigators from LUISS Guido Carli University Target Machine Learning (The For gotten Creator: Towards a Statutory Remuneration Right for Machine Learning of G enerative Ai)
Investigators from LUISS Guido Carli University Target Machine Learning (The For gotten Creator: Towards a Statutory Remuneration Right for Machine Learning of G enerative Ai)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-A new study on Machine Learning is now available. According to news reporting from Rome, Italy, by NewsRx journalists, research stated, "Generative AI is disrupting the creative process(es) of intel lectual works on an unparalleled scale. Algorithmic tools are increasing users' production capacity for literary and artistic works to almost infinite levels." The news correspondents obtained a quote from the research from LUISS Guido Carl i University, "However, the quality of the outputs is strictly dependent on the quantity and quality of the inputs, some of which are protected by copyright. Th is scenario gave raise to tensions between copyright holders and generative AI c ompanies. While the formers claim control over this new kind of exploitation of their works, the latters wish to train their algorithms freely with as many cont ents as possible. This contribution suggests exploring the idea of introducing a statutory license for machine learning purposes as a compromise solution to ens ure an attractive environment for artificial intelligence without marginalizing the role played by human authors." According to the news reporters, the research concluded: "This remuner-ation pro posal is rooted in a fundamental rights analysis that balances i.e., the right t o science and culture and freedom of artistic expression (Arts. 11 and 13 EUCF, 19 UDHR, 27.1 UDHR, 15.1 a and b ICESCR) vis-‘a-vis the right for creators to be nefit from the protection of the moral and material interests resulting from the ir scientific, literary or artistic production (Arts. 17.2 EUCF, 27.2 UDHR, and 15.1 c ICESCR)."
RomeItalyEuropeCyborgsEmerging T echnologiesMachine LearningLUISS Guido Carli University
NETL
NSTL
