Measuring and Mitigating Homelessness Bias: Leveraging AI for Social Impact

Karr Jr., Jonathan A.

doi:10.24963/ijcai.2025/1241

Measuring and Mitigating Homelessness Bias: Leveraging AI for Social Impact

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Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence. Doctoral Consortium. Pages 10973-10974.

https://doi.org/10.24963/ijcai.2025/1241

Keywords

AI Ethics, Trust, Fairness: ETF: Societal impact of AI
Natural Language Processing: NLP: Applications

Abstract

Bias towards people experiencing homelessness (PEH) is prevalent in online spaces. I leverage natural language processing (NLP) and large language models (LLMs) to identify, classify, and measure bias using geolocalized data collected from X (formerly Twitter), Reddit, meeting minutes, and news articles across the United States. The results of the study aim to provide a new path to alleviate homelessness by unveiling the intersectional bias that affects PEH. My research delivers a lexicon on homelessness, compiles an annotated database for homelessness and homelessness-racism intersectional (HRI) bias, evaluates LLMs as classifiers against these biases, and audits existing LLMs on HRI. My goal is to contribute to homelessness alleviation by counteracting social stigma and restoring the human dignity of the persons affected.

Jonathan A. Karr Jr.. 2025. Measuring and Mitigating Homelessness Bias: Leveraging AI for Social Impact. In Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, IJCAI-25. IJCAI, 10973–10974. https://doi.org/10.24963/ijcai.2025/1241

@inproceedings{ijcai2025p1241,
  title     = {Measuring and Mitigating Homelessness Bias: Leveraging AI for Social Impact},
  author    = {Karr Jr., Jonathan A.},
  booktitle = {Proceedings of the Thirty-Fourth International Joint Conference on
               Artificial Intelligence, {IJCAI-25}},
  publisher = {International Joint Conferences on Artificial Intelligence Organization},
  editor    = {James Kwok},
  pages     = {10973--10974},
  year      = {2025},
  month     = {8},
  note      = {Doctoral Consortium},
  doi       = {10.24963/ijcai.2025/1241},
  url       = {https://doi.org/10.24963/ijcai.2025/1241},
}

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TI  - Measuring and Mitigating Homelessness Bias: Leveraging AI for Social Impact
AU  - Karr Jr., Jonathan A.
T2  - Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, IJCAI-25
PB  - International Joint Conferences on Artificial Intelligence Organization
PY  - 2025
SP  - 10973
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DO  - 10.24963/ijcai.2025/1241
UR  - https://doi.org/10.24963/ijcai.2025/1241
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