生成式人工智能繪畫著作權(quán)侵權(quán)與規(guī)制路徑研究

A Study on Copyright Infringement and Regulation Paths for Generative Artificial Intelligence Painting

Wang Zhuoqun

（School of Artificial Intelligence andLaw，Southwest Universityof Political ScienceandLaw，Chongqing 401120）

Abstract：Generativeartificialintellgence（A）paintinghsdeveloedapidlyandbecomeidespreadbringingwithitteriskof copyrightinfringeentichsaroadsocialipact.TetchicalcharacteristicsofgenerativeAIpaintingicudedeepagapbilitiesandrelianceonmassiveamountsoftrainingdata.Combiningdomesticandinteratioaljudicialcases，copyightifrngentan bedividedintotwocategoris：infringementofexistingcopyightholdersbyrainigdataandinfringeentfacedbygeneratieAworks， suchasmisapropratioThreareanydiultisineprocessofgulatingopightinfringentcludingiguityinetei ningcopyrightoershipofgenerativeAworks，videntarydifcisinrainingdatainfringementcases，ndtelackofectivegov eranceftragdaesTtielyatergtdlaeoloaliovaiglatioiisd idetifyAIpaintingcopyghtsbasedontheorigialcontributiosofusers，exploretheuleofreversedburdnofproofinraningdatainfringement cases，and strengthen the governance of the source and content of training data.

Keywords： generative AI painting； copyright； copyright infringement； training data

近年來，生成式人工智能繪畫獲得了一定的發(fā)展。（剩余12374字）