Learning to Listen: Critically Considering the Role of AI in Human Storytelling and Character Creation

Anna Kasunic, Geoff Kaufman


Abstract
In this opinion piece, we argue that there is a need for alternative design directions to complement existing AI efforts in narrative and character generation and algorithm development. To make our argument, we a) outline the predominant roles and goals of AI research in storytelling; b) present existing discourse on the benefits and harms of narratives; and c) highlight the pain points in character creation revealed by semi-structured interviews we conducted with 14 individuals deeply involved in some form of character creation. We conclude by proffering several specific design avenues that we believe can seed fruitful research collaborations. In our vision, AI collaborates with humans during creative processes and narrative generation, helps amplify voices and perspectives that are currently marginalized or misrepresented, and engenders experiences of narrative that support spectatorship and listening roles.
Anthology ID:
W18-1501
Volume:
Proceedings of the First Workshop on Storytelling
Month:
June
Year:
2018
Address:
New Orleans, Louisiana
Editors:
Margaret Mitchell, Ting-Hao ‘Kenneth’ Huang, Francis Ferraro, Ishan Misra
Venue:
Story-NLP
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
1–13
Language:
URL:
https://aclanthology.org/W18-1501
DOI:
10.18653/v1/W18-1501
Bibkey:
Cite (ACL):
Anna Kasunic and Geoff Kaufman. 2018. Learning to Listen: Critically Considering the Role of AI in Human Storytelling and Character Creation. In Proceedings of the First Workshop on Storytelling, pages 1–13, New Orleans, Louisiana. Association for Computational Linguistics.
Cite (Informal):
Learning to Listen: Critically Considering the Role of AI in Human Storytelling and Character Creation (Kasunic & Kaufman, Story-NLP 2018)
Copy Citation:
PDF:
https://aclanthology.org/W18-1501.pdf