AI in Research
Workshop Details
Workshop Overview
This session introduces the use of Artificial Intelligence (AI) in research, with a focus on how AI tools can support different stages of the research process. As AI becomes increasingly integrated into research workflows, it offers new opportunities to enhance efficiency, support data analysis, and streamline reporting. At the same time, effective use of AI requires an understanding of its limitations, biases, and ethical implications.
Participants will explore practical applications of AI in research, including qualitative analysis, synthesis, and report writing. Through demonstrations and hands-on exercises, the session will examine how to write effective prompts, identify tasks that can be supported by AI, and distinguish areas where human judgment, expertise, and contextual understanding remain essential.
Workshop Objectives
- Identify opportunities to integrate AI across different stages of the research process, and distinguish between tasks that can be supported by AI and those that require human expertise.
- Use AI tools to support qualitative analysis, synthesis, and reporting.
- Write effective prompts for common research tasks to improve the quality and relevance of AI-generated outputs.
- Recognize the limitations, biases, and ethical considerations associated with AI-assisted research.
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