I regularly present to academic, professional, and interdisciplinary audiences on the design, governance, and long-term consequences of data- and AI-driven systems.
My presentations focus on how early design decisions shape power, legitimacy, and institutional outcomes over time, often in ways that cannot be corrected after deployment.
Selected Invited Presentations
2025
Invited Speaker, Data, Analytics & AI in Healthcare
Center for Health and Business, Bentley University
Guest lecture for The Business of Healthcare course, USA
2023
Panelist / Speaker, “What I Wish I Knew”
Graduate (PhD) Student Research Consortium, Memorial University, Canada
2021
Speaker, Collecting Insightful Data from Crowds: How Training Affects the Diversity of Crowdsourced Data
CIS IPM Brownbag, Bentley University, USA
2019
Speaker, Designing Data Systems for Insightfulness
MIS Seminar, University of British Columbia, Canada
2016
Speaker, The Downside of Expertise: Does Domain Knowledge Have a Negative Effect on the Quality of Crowdsourced Data?
Brown Bag Seminar, Memorial University, Canada
2015
Speaker, The Questionable Quality of Personal Health Record Systems
IS & OM Seminar, Memorial University, Canada
Peer-Reviewed Presentations and Proceedings
Beard, J., Storey, V. C., Samuel, B. M., Islamzada, F., Wiedemann, A., Ogunseye, S. (2024).
Agile Development: The Promise, the Reality, the Opportunity.
Agil-ISE Workshop at CAiSE.
Ogunseye, S., Aljanaideh, A., Murungi, D. (2024).
Comparative Advantage in the AI Era: Leveraging Generative AI for Global Competitiveness.
AAAI International Workshop on the Social Impact of AI for Africa, Canada.
Afolabi, D., Sennaike, O., Ogunseye, S., Adewole, P. (2023).
RAMEN: A Ratio-Weighted Majority Entropy-Based Decision Tree Algorithm for Classifying Imbalanced Datasets.
IEEE ICECCME 2023.
Ogunseye, S., Murungi, D., Purao, S. (2023).
Combating Cyber-Radicalization: Have We Paid Attention to Attention?
Northeast Association for Information Systems Conference, USA.
Ogunseye, S., Parsons, J. (2021).
Collecting Useful Information from Crowds: Is Experience Required?
International Conference on Information Systems, USA.
Topics I Commonly Speak On
- AI governance and system architecture
- Governance by design in data and AI systems
- Data repurposability and downstream value extraction
- Teaching and learning under structured uncertainty
- Designing healthcare analytics and AI deployment
Speaking Format
- Guest lectures (graduate and executive programs)
- Academic conference talks
- Professional and industry workshops
- Interdisciplinary panels
Presentation Themes
My invited talks and guest lectures commonly address the following areas:
- Data, analytics, and AI in healthcare organizations
- AI governance and system architecture
- Governance by design in digital systems
- Data repurposability and downstream use
- Teaching and learning under structured uncertainty