Research
We conduct AI research focused on AI safety, multi-agent AI, and AI evaluations.
Idowu, J. A., Almasoud, A., & Alfahid, A. (2026). Mapping Human Anti-collusion Mechanisms to Multi-agent AI. arXiv preprint arXiv:2601.00360.
Idowu, J. A. (2024). Debiasing education algorithms. International Journal of Artificial Intelligence in Education, 34(4), 1510-1540.
Idowu, J. A., Koshiyama, A. S., & Treleaven, P. (2024). Investigating algorithmic bias in student progress monitoring. Computers and Education: Artificial Intelligence, 7, 100267.
Almasoud, A. S., & Idowu, J. A. (2025). Algorithmic fairness in predictive policing. AI and Ethics, 5(3), 2323-2337.
Idowu, J. A., & Almasoud, A. (2026). Specialists or Generalists? Multi-Agent and Single-Agent LLMs for Essay Grading. arXiv preprint arXiv:2601.22386.
Idowu, J., & Almasoud, A. (2023). Uncertainty in AI: Evaluating Deep Neural Networks on Out-of-Distribution Images. arXiv preprint arXiv:2309.01850.