AISS is a group of researchers who study, analyze, and build various aspects of AI (including social) systems. Our work spans several areas - Applied Machine Learning, Responsible and Safe AI, Natural Language Processing, and Social Network Analysis. By understanding and measuring AI systems, we aim to develop solutions that contribute to the greater good of society.
Latest News
Grant Approved
Dr. Mohammad Nadeem, Assistant Professor, Department of Computer Science, Aligarh Muslim University, has been awarded a USD 5,000 research grant by OpenAI, USA, under the Researcher Access Programme. The grant will support his research on comparing task-specific intelligence with general-purpose Large Language Models (LLMs) and facilitate access to advanced AI technologies and resources. Click here
July 2026
Our paper, “Auditing Cultural Bias in End-to-End Translation for Indian Languages,” has been accepted at the GlobalSouthAI Workshop at IJCAI-ECAI 2026 A*. Click here
Aug 2026
We are pleased to announce the publication of our research article, “A Multi-Criteria Systematic Review on Multipopulation Techniques in Metaheuristics,” in Springer’s Archives of Computational Methods in Engineering. click here
Selected Publications
Negation Blindness in Large Language Models
Mohammad Nadeem, Shahab Saquib Sohail, Erik Cambria, Björn W. Schuller, Amir Hussain Preprint, Arxiv
Animal Bias in Vision Language Models
Mohammad Anas, Mohammad Nadeem, Shahab Saquib Sohail, Erik Cambria, and Amir Hussain In International Joint Conference on Neural Networks (IJCNN)
CertAI
Faisal Anwer, Mohammad Nadeem, Mohammed Abdullah Tahir, Jaafar Gaber and Salman Ali In 18th International Conference on Agents and Artificial Intelligence (ICAART 2026)
Gender Bias in Text-to-Video Generation Models
Mohammad Nadeem, Shahab Saquib Sohail, Erik Cambria, Bjorn W. Schluller, Amir Hussain In IEEE Intelligent Systems, 2025
Joining Our Lab
Thank you for your interest in joining our team! We are always looking for talented and motivated individuals to join our team. If you are interested in working with us, please apply here.
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