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Artificial Intimacy: An Exploration of the Personal and Intimate in Natural Language Processing Models

Published: 08 October 2022 Publication History

Abstract

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.

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References

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L. Floridi and M. Chiriatti, “GPT-3: Its Nature, Scope, Limits, and Consequences,” Minds Mach., vol. 30, no. 4, pp. 681–694, Dec. 2020.
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“Feminist Alexa - Project Report.pdf,” Google Docs. https://drive.google.com/file/d/1vIrIT8dIA9muhvd-XfCCCCUQCujRhMOO/view?usp=embed_facebook (accessed Aug. 18, 2022).
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Published In

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NordiCHI '22 Adjunct: Adjunct Proceedings of the 2022 Nordic Human-Computer Interaction Conference
October 2022
216 pages
ISBN:9781450394482
DOI:10.1145/3547522
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 08 October 2022

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Author Tags

  1. Artificial Intelligence
  2. Model finetuning
  3. NLP
  4. Personalization
  5. Values

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  • Research
  • Refereed limited

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NordiCHI '22

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