Is diverse and inclusive AI trapped in the gap between reality and algorithmizability?

Carina Geldhauser, Hermann Diebel-Fischer. Is diverse and inclusive AI trapped in the gap between reality and algorithmizability?. In Tetiana Lutchyn, Adín Ramírez Rivera, Benjamin Ricaud, editors, Northern Lights Deep Learning Conference, NLDL 2024, 9-11 January 2024, UiT The Arctic University, Tromsø, Norway. Volume 233 of Proceedings of Machine Learning Research, pages 75-80, PMLR, 2024. [doi]

@inproceedings{GeldhauserD24,
  title = {Is diverse and inclusive AI trapped in the gap between reality and algorithmizability?},
  author = {Carina Geldhauser and Hermann Diebel-Fischer},
  year = {2024},
  url = {https://proceedings.mlr.press/v233/geldhauser24a.html},
  researchr = {https://researchr.org/publication/GeldhauserD24},
  cites = {0},
  citedby = {0},
  pages = {75-80},
  booktitle = {Northern Lights Deep Learning Conference, NLDL 2024, 9-11 January 2024, UiT The Arctic University, Tromsø, Norway},
  editor = {Tetiana Lutchyn and Adín Ramírez Rivera and Benjamin Ricaud},
  volume = {233},
  series = {Proceedings of Machine Learning Research},
  publisher = {PMLR},
}