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20132026

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Dive into the research topics where Maria De-Arteaga is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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  • Should You Use LLMs to Simulate Opinions? Quality Checks for Early-Stage Deliberation

    Neumann, T., De-Arteaga, M. & Fazelpour, S., Mar 2026, Proceedings of the AAAI Conference on Artificial Intelligence. Koenig, S., Jenkins, C. & Taylor, M. E. (eds.). 46 ed. Association for the Advancement of Artificial Intelligence, p. 39070-39079 10 p. (Proceedings of the AAAI Conference on Artificial Intelligence; vol. 40, no. 46).

    Research output: Book chapterConference contributionpeer-review

    Open Access
  • Finding Pareto trade-offs in fair and accurate detection of toxic speech

    Gupta, S., Kovatchev, V., Das, A., De-Arteaga, M. & Lease, M., Mar 2025, In: Information Research. 30, iConf 2025, p. 123-141 19 p.

    Research output: Indexed journal article Articlepeer-review

    Open Access
  • Perils of Label Indeterminacy: A Case Study on Prediction of Neurological Recovery after Cardiac Arrest

    Schoeffer, J., De-Arteaga, M. & Elmer, J., 23 Jun 2025, Proceedings Of The 2025 Acm Conference On Fairness, Accountability, And Transparency, Acm Facct 2025: Proceedings of the 2025 ACM Conference on Fairness, Accountability,and Transparency. New York: Association for Computing Machinery, Inc, p. 1080-1094 15 p. (ACMF AccT 2025 - Proceedings of the 2025 ACM Conference on Fairness, Accountability,and Transparency).

    Research output: Book chapterConference contributionpeer-review

    Open Access
    2 Citations (Scopus)
  • Recovery Potential in Patients After Cardiac Arrest Who Die After Limitations or Withdrawal of Life Support

    Elmer, J., Coppler, P. J., Ratay, C., Steinberg, A., Difiore-Sprouse, S., Case, N., Fischhoff, B., De-Arteaga, M., Cariou, A., Rabinstein, A. A., Rossetti, A. O., Doshi, A. A., Molyneaux, B. J., Dezfulian, C., Maciel, C. B., Leithner, C., Hsu, C. H., Sandroni, C., Greer, D. M. & Seder, D. B. & 30 others, Guyette, F. X., Taccone, F. S., Naito, H., Soar, J., Lascarrou, J. B., Nolan, J. P., Hirsch, K. G., Berg, K. M., Moseby-Knappe, M., Skrifvars, M. B., Kurz, M. C., Chae, M. J. K., Sekhon, M. S., Johnson, N. J., Kurtz, P., Geocadin, R. G., Agarwal, S., May, T. L., Olasveengen, T. M., Callaway, C. W., Cariou, A., Rabinstein, A. A., Steinberg, A., Rossetti, A. O., Doshi, A. A., Molyneaux, B. J., Dezfulian, C., Maciel, C. B., Ratay, C. & Leithner, C., 25 Mar 2025, In: JAMA Network Open. 8, 3, p. 1-12 12 p., e251714.

    Research output: Indexed journal article Articlepeer-review

    Open Access
    22 Citations (Web of Science)
  • A Critical Survey on Fairness Benefits of Explainable AI

    Deck, L., Schoeffer, J., De-Arteaga, M. & Kühl, N., 3 Jun 2024, 2024 ACM Conference on Fairness, Accountability, and Transparency, FAccT 2024. New York: Association for Computing Machinery, Inc, p. 1579-1595 17 p. (2024 ACM Conference on Fairness, Accountability, and Transparency, FAccT 2024).

    Research output: Book chapterConference contributionpeer-review

    31 Citations (Scopus)