D3.4 Interim report on the role of AI machines in producing literary and artistic content

João Pedro Quintais, Oleksandr Bulayenko, Daniel Gervais, Joost Poort
2021 Zenodo  
This Interim Report refers to Task3.2. of Work Package 3–"Authors and Performers". This Task is titled"The Growing Role of AI machines as Producers of Literary and Artistic Works: Challenges to Human Authorship". As we describe below, in light of the evolution of policy in scholarship in this field we have adjusted the focus of the task to better reflect these developments and provide an original contribution to this emerging debate. The aim of the Interim Report is to briefly describe the
more » ... ne and structure of the final reportD3.5 Final report on the impact of IA authorship expected to be released on M21. From a substantive perspective, it maps out at a high level the state of our work thus far and our main avenues of research going forward, including empirical research through interviews.The Interim Report serves to obtain internal peer-reviewers' input on the: •study scope, and in particular topics excluded from our analysis; •study structure, its clarity and coherence;•insights on recent empirical studies on the topic; •selection of AI projectsforthecase studies; •content of interview questions. The research problem: There is legal uncertainty about application of EU copyright and related rights law to outputs generated by or with the assistance of artificial intelligence(AI)systems, tools or techniques(AI outputs).The researchquestion: How can and should EU copyright and related rights law protect AI outputs1?The research aim of our study is to develop interpretative guidelines and/or policy recommendations on increasing legal certainty with regard to the legal status of AI outputs in EU copyright and related rights law, especially musical output,and including questions of authorship an ownership. The research objectives of the study are the following: •to analyse protection of AI outputs under EU copyright and related rights law; •to analyse attribution of authorship and ownership to (natural and legal) persons involved in the creation or production of AI outputs; •to analyse the legal impact of the reco [...]
doi:10.5281/zenodo.5040206 fatcat:wvmqpzlgorhmbgaofqrzpuz5ae