Joseph Azeez is a Doctoral Researcher in AI Surveillance Ethics at the University of Ottawa. He focuses on responsible and trustworthy AI, governance, and ethical AI design, with particular attention to challenges in the Global South. His work explores how data governance, public trust, credibility, and institutional culture shape the ethical use of AI systems.

He works as an AI Governance Professional with Employment and Social Development Canada, designing AI oversight processes, facilitating stakeholder deliberation, and developing governance principles for public-sector AI projects. He also teaches Responsible AI and Bioethics at the University of Ottawa and contributes to international AI ethics initiatives. Joseph has served as a Responsible AI Consultant with UNICRI, worked with the Canadian Robotics and AI Ethical Design Lab (CRAiEDL), contributed to the Center for AI and Digital Policy, and collaborated with IBM Cyber Range on AI-driven driverless car simulations and cybersecurity exercises.

His publications include Trust Norms for Generative AI Data Gathering in the African Context (Cambridge University Press, 2024), Resource Allocation for Trustworthy AI Projects in the African Context (Springer Nature, 2025), Social Robots and Social Justice: Insights from Neo-Ubuntu Ethics (Springer Nature, forthcoming) and Treating Data as a Collective Good (forthcoming thesis conclusion). He has also contributed to the Responsible AI Toolkit for Law Enforcement (Interpol–UNICRI) and the AI & Democratic Values Index (Center for AI and Digital Policy). His broader interests include AI oversight models, socio-technical assessment, AI workplace culture, and digital sovereignty