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“AI: Disruptor or Enabler? Navigating the Benefits and Pitfalls in Research and Ancillary Services”
About Course
Course Objectives
- To explore the dual role of AI as both a disruptor and enabler in research and ancillary
services. - To help participants understand how to adopt AI tools while mitigating associated
risks strategically. - To provide practical insights into integrating AI ethically and effectively in research
and operational workflows.
Target Audience
- Researchers
- Research Support and Ancillary Services Staff
- ICT and Data Management Teams
- Administrative and Policy Staff
- Project Managers and Institutional Leadership
Course Content
Module 1: Introduction to AI – Context and Trends
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Evolution of Artificial Intelligence: A Brief History
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Key concepts: Machine Learning, Natural Language Processing, Generative AI
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Current and emerging AI trends globally
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The growing role of AI in research and service industries
Module 2: AI as a Disruptor
Module 3: AI as an Enabler
Module 4: Navigating the Pitfalls: Risk Management and Ethical AI
Module 5: Best Practices for AI Integration in Research and Ancillary Services
Module 6: Practical Session – Interactive Workshop
Module 7: The Future of Work and Research with AI
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