“ To be clear , artists are not in danger of being replaced ,” they write . “ It does mean that artists no longer need to do all the work themselves : they can now set initial creative direction , then hand off much of the timeconsuming and technical execution to an AI . In this , they are like cel painters from the early days of hand-drawn animation , in which highly skilled “ inkers ” drew the outlines of animation , and then armies of lower-cost “ painters ” would do the time-consuming work of painting the animation cels , filling in the lines .”
Image : Microsoft ’ s Flight Simulator
Legal issues to be managed One of the crucial legal issues surrounding generative AI is the ownership of intellectual property rights . The ability of AI systems to create new works without human input raises questions about who owns the rights to these creations , and how to protect them from infringement .
“ Although there are present , emerging and potential applications for generative AI as a tool for creatives , some AI generators have been met by confusion and anger from artist communities , due to uncertainty about how generative AI impacts creators ’ rights with respect to training data and generated content ,” explains Magdalene Bedi , a partner at legal firm Pillar Legal . “ For game developers , generative AI poses two core issues : who owns the content generated by AI , and does training data used without the consent of the data owners violate their copyright ?
“ The first core issue presented by generative AI is that of ownership : who owns the copyright to content produced by generative AI ? If ownership isn ’ t clear , or if content generated by AI is public domain , then game developers will be limited in their ability to protect that content against infringement by others .
“ The second core issue presented by generative AI is whether using data to train generative AI models without the data owners ’ permission constitutes copyright infringement . Such copyright infringement may occur when training data is input into generative AI models , and in the subsequent content produced by such generative AI models .”
So , although AI promises nothing short of an industry revolution , before these models can be deployed at scale across the gaming sphere , these complex legal hurdles still need to be overcome . aimagazine . com 85