Anas Buhayh

Information Science PhD student

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Boulder, Colorado

A PhD student at That Recommender Systems Lab at the University of Colorado Boulder, where his research investigates alternative architectures and technologies for building responsible and governable AI systems. His work emphasizes the importance of addressing the needs of stakeholders in sociotechnical systems. Anas also volunteers as a consultant for recommender system design and development.

A Fulbright alumnus from Libya, Anas holds a master’s degree in Information Management from Central Michigan University and a bachelor’s degree in Automation from the College of Computer Technologies in Tripoli, Libya. His professional experience includes roles in monitoring and evaluation with the World Health Organization and the International Rescue Committee, where he focused on aligning project outcomes with stakeholder needs.

Anas is passionate about data analytics, machine learning, and systems design. In his free time, he enjoys programming, playing the guitar, and staying active.

news

Oct 6, 2024 Our paper “Decoupled Recommender Systems: Exploring Alternative Recommender Ecosystem Designs”. got accepted at the First International Workshop on Recommender Systems for Sustainability and Social Good (RecSoGood 2024), jointly held with RecSys 2024 in Bari.

selected publications

  1. Decoupled Recommender Systems: Exploring Alternative Recommender Ecosystem Designs
    Elizabeth McKinnie Anas Buhayh, and Robin Burke
    In RecSoGood Workshop at eighteenth ACM Conference on Recommender Systems, 2024
  2. The Many Faces of Fairness: Exploring the Institutional Logics of Multistakeholder Microlending Recommendation
    Jessie J Smith, Anas Buhayh, Anushka Kathait, and 4 more authors
    Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023