@article{autonomyauthenticityauthorship2019,
  title = {Autonomy, Authenticity, Authorship and Intention in Computer Generated Art},
  author = {McCormack, J. and Gifford, T. and Hutchings, P.},
  year = {2019},
  journal = {EvoMUSART 2019 (Springer)},
  url = {https://link.springer.com/chapter/10.1007/978-3-030-16667-0_3},
  abstract = {McCormack, Gifford, and Hutchings' 2019 paper, published in the EvoMUSART 2019 proceedings (Springer), articulates the four central questions educators encounter when teaching AI-generated art: autonomy (how independently does the system act?), authenticity (is the output genuinely the system's own?), authorship (who made this?), and intention (does the system have goals?). It provides a structured theoretical vocabulary that educators in animation and generative-art courses use to frame studio critique and discussion of AI tools.},
  keywords = {ai-literacy, studio-pedagogy},
  note = {AI \& Animation Education Knowledge Base}
}