@inproceedings{dffcdde9b50e4cd5b645477c170d0ebb,
title = "Unwritten Magic: Participatory Design of AI Dialogue to Empower Marginalized Voices",
abstract = "Language is an act of identity, but AI has no identity other than that which its creators assign it. Technology creators who do not fully consider how identity information is encoded in AI dialogue risk creating representational harms that negatively impact users' interactions with the technology, particularly young users from groups marginalized in STEM education. One solution is to engage young users in Participatory Design of dialogue, pushing power away from the researcher and toward the young users. This positions users as technology creators who understand AI language as a technosocial phenomenon and who have their own perspective about how identity is best portrayed in AI language. In this work in progress paper, we provide initial impressions from a Youth Advisory Group (YAG) with 12 middle-school-aged learners of color who are all female or non-binary.",
keywords = "AI, diversity and inclusion, equity, gender, language understanding, race, representational harms",
author = "Amanda Buddemeyer and Jennifer Nwogu and Jaemarie Solyst and Erin Walker and Tara Nkrumah and Amy Ogan and Leshell Hatley and Angela Stewart",
note = "Publisher Copyright: {\textcopyright} 2022 Owner/Author.; 2nd ACM Conference on Information Technology for Social Good, GoodIT 2022 ; Conference date: 07-09-2022 Through 09-09-2022",
year = "2022",
month = sep,
day = "7",
doi = "10.1145/3524458.3547119",
language = "English (US)",
series = "ACM International Conference Proceeding Series",
publisher = "Association for Computing Machinery",
pages = "366--372",
booktitle = "GoodIT 2022 - Proceedings of the 2022 ACM Conference on Information Technology for Social Good",
}