The Human-Centered Machine Intelligence Lab is a research lab focused on advancing AI and machine learning systems that are fair, transparent, and aligned with human values.
Our paper on "Self-Paced Fair Ranking with Loss as a Proxy for Bias" by Hai Son Le, Shirin Seyedsalehi, Morteza Zihayat, and Ebrahim Bagheri has been accepted at WSDM 2026.
Our paper on "When Attention Becomes Exposure in Generative Search" by Shayan Alipour, Mehdi Kargar, and Morteza Zihayat has been accepted at ECIR 2026 (Top-tier conference in Information Retrieval).
Our paper on "Decentralized in Name Only: The Centralization of DAO Labor" by Lingling Zhang, Morteza Zihayat, and Ebrahim Bagheri has been accepted at WWW 2026.
Our paper on "Graph Poisoning for Node Rank Manipulation" by Seyed Mohammad Hosseini, Radin Hamidi Rad, Morteza Zihayat, and Ebrahim Bagheri has been accepted at WWW 2026, investigating graph poisoning attacks designed to manipulate node rankings.
Our paper on "The Gray Area: Characterizing Moderator Disagreement on Reddit" by Shayan Alipour, Shruti Phadke, Seyed Shahabeddin Mousavi, Amirhossein Afsharrad, Morteza Zihayat, and Mattia Samory has been accepted at ICWSM 2026 (International AAAI Conference on Web and Social Media).
Our paper on "LLM-as-a-Judge in Entity Retrieval: Assessing Explicit and Implicit Relevance" by Mohammad Hossein Saliminabi, Negar Arabzadeh, Seyed Mohammad Hosseini, Dimitrios Androutsos, Morteza Zihayat, and Ebrahim Bagheri has been accepted at CIKM 2025.
Our paper on "Datasets for Supervised Adversarial Attacks on Neural Rankers" by Amir Khosrojerdi, Amin Bigdeli, Radin Hamidi Rad, Morteza Zihayat, Charles LA Clarke, and Ebrahim Bagheri has been accepted at CIKM 2025.