Muhammad Aurangzeb Ahmad

University of Washington Bothell. Harborview Medical Center.

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I am a Resident Fellow at the Harborview Medical Center (UW Medicine). I am also an Affiliate Assistant Professor in the Department of Computer Science at University of Washington Bothell and Affiliate Faculty member at Responsible AI Systems and Experiences, University of Washington. I received my PhD in Computer Science from University of Minnesota and Bachelors in Computer Science from the Rochester Institute of Technology.

Research: ai in healthcare, responsible ai, digital twins, personality emulation.

news

Feb 06, 2025 I was on The Ethical Challenges of AI: Humanistic and Religious Responses to the Demands of Artificial Intelligence panel at the United Nations along with John Tasioulas (University of Oxford), Father Paolo Benanti (AI advisor to Pope Francis), Nathalie Smuha (KU Leuven), and Benedetta Audia (UN Advisor).
Jan 17, 2025 The New York Times did a follow up study on AI and religion where they mention my work on creating the Rabbit Bot.
Jan 14, 2025 Giving a talk on Wesley Homes on When Your Grandpa Is a Bot: AI, Death, and Digital Dopplegangers on January 14, 2025 and then at Coordinators of Patient Services in Bellevue, WA on January 15, 2025
Jan 02, 2025 The New York Times has an article on the use of AI in sermons where they profile of Rabbi Josh Fixler and the AI generated sermons for Rabbit Bot, a system that I created.
Nov 15, 2024 This week I have two papers out: (1) Building persoanlity adaptive conversational agents for mental health therapy at the International Workshop on Parallel and AI-based Bioinformatics and Biomedicine ParBio at ACM-BCB (2) 𝐸2𝑇2: Emote Embedding for Twitch Toxicity Detection at CSCW

selected publications

  1. ACM-BCB
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    Interpretable machine learning in healthcare
    Muhammad Aurangzeb Ahmad, Carly Eckert, and Ankur Teredesai
    Proceedings of the 2018 ACM international conference on bioinformatics, computational biology, and health informatics, 2018
  2. arXiV
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    Creating trustworthy llms: Dealing with hallucinations in healthcare ai
    Muhammad Aurangzeb Ahmad, Ilker Yaramis, and Taposh Dutta Roy
    arXiv preprint arXiv:2311.01463, 2023
  3. FAccT
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    Fairness, accountability, transparency in AI at scale: Lessons from national programs
    Muhammad Aurangzeb Ahmad, Ankur Teredesai, and Carly Eckert
    In Proceedings of the 2020 conference on fairness, accountability, and transparency, 2020
  4. KDD
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    Fairness in machine learning for healthcare
    Muhammad Aurangzeb Ahmad, Arpit Patel, Carly Eckert, and 2 more authors
    In Proceedings of the 26th ACM SIGKDD international conference on knowledge discovery & data mining, 2020
  5. KDD
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    Software as a medical device: regulating AI in healthcare via responsible AI
    Muhammad Aurangzeb Ahmad, Steve Overman, Christine Allen, and 3 more authors
    In Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining, 2021
  6. Book Chapter
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    Survey of explainable machine learning with visual and granular methods beyond quasi-explanations
    Boris Kovalerchuk, Muhammad Aurangzeb Ahmad, and Ankur Teredesai
    Interpretable artificial intelligence: A perspective of granular computing, 2021