Artificial Intimacy: An Exploration of the Personal and Intimate in Natural Language Processing Models
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Final published version, 532 KB, PDF document
Artificial Intimacy is an AI art installation that explores what natural language processing (NLP) models in our everyday lives would feel like if they were to be personalized to match our own personalities and values. We explored the possibility of fine-tuning NLP models using personal social media data. Our selected data sources - Leslie Foster and Gorjeoux Moon - have offered their own social media data to fine-tune the models. We present a video capturing their conversations with their social media selves. The interactive portion of the installation invites the audience to engage with Foster's and Moon's chatbots and explore interactions with NLP models that are personalized in this way.
|Title of host publication||Participative Computing for Sustainable Futures - Adjunct Proceedings of the 12th Nordic Conference on Human-Computer Interaction, NordiCHI 2022|
|Number of pages||2|
|Publisher||Association for Computing Machinery, Inc.|
|Publication status||Published - 2022|
|Event||12th Nordic Conference on Human-Computer Interaction: Participative Computing for Sustainable Futures, NordiCHI 2022 - Aarhus, Denmark|
Duration: 8 Oct 2022 → 12 Oct 2022
|Conference||12th Nordic Conference on Human-Computer Interaction: Participative Computing for Sustainable Futures, NordiCHI 2022|
|Periode||08/10/2022 → 12/10/2022|
|Sponsor||Department of Computer Science, Aarhus University, DIREC, IT-vest, Stibo Fond|
|Series||ACM International Conference Proceeding Series|
© 2022 Owner/Author.
- Artificial Intelligence, Model finetuning, NLP, Personalization, Values