@inproceedings{32e2795f9f074547988c102fd232afed,
title = "Applying Reflexivity to Artificial Intelligence for Researching Marginalized Communities and Real-World Problems",
abstract = "Despite advances in artificial intelligence (AI), ethical principles have been overlooked, harming marginalized communities. These flaws are due to a lack of critical insight into the complex positionality of the researcher, power dynamics between scholars and the communities being studied, and the structural impact on real-world problems when AI systems appear to be accurate but ethically fail. Reflexivity is a process that yields a better understanding of community-specific nuances, areas requiring local expertise, and the potential consequences of scholastic interventions for real-world problems (i.e., social, environmental, or socioeconomic). The paper builds on the five stages of social work reflexivity that can be applied to AI researchers and provided questions that can be asked in order to increase privacy, accountability, and fairness. We discuss the effective implementation of reflexivity in research, detail the stages of social work reflexivity and highlight key questions for AI researchers to ask throughout the research process.",
keywords = "Accountability, Artificial Intelligence, Fairness, Privacy, Reflexivity, Social Work",
author = "Nathan Aguilar and Landau, {Aviv Y.} and Siva Mathiyazhagan and Alex Auyeung and Sarah Dillard and Patton, {Desmond U.}",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE Computer Society. All rights reserved.; 56th Annual Hawaii International Conference on System Sciences, HICSS 2023 ; Conference date: 03-01-2023 Through 06-01-2023",
year = "2023",
language = "English (US)",
series = "Proceedings of the Annual Hawaii International Conference on System Sciences",
publisher = "IEEE Computer Society",
pages = "712--721",
editor = "Bui, {Tung X.}",
booktitle = "Proceedings of the 56th Annual Hawaii International Conference on System Sciences, HICSS 2023",
}