Workshop 1
AI in AAGI: From Tools to Workflows
Date: Tuesday, 10 November 2026
Time: 11:00 - 13:00
Venue: QT Perth, Murray Room
Chairs: Kristina Gangalova and Julian Taylor
Summary
Artificial intelligence (AI) is rapidly transforming scientific research, creating new opportunities for knowledge discovery, data analysis, and computational tool development. This workshop will showcase major trends shaping the current AI landscape, exploring how emerging technologies are changing research practices and how they can be adopted effectively and responsibly. Through a series of presentations, we will examine AI-assisted literature exploration and research gap identification, AI-driven tool development, and the growing role of locally deployed AI models in supporting research workflows. Attention will be given to responsible AI practices, including the generation and use of synthetic data, management of sensitive research datasets, data privacy, and research integrity. Bringing together practical applications, emerging technologies and responsible data management strategies, the workshop aims to provide researchers with a broader understanding of AI’s evolving role in science, encourage knowledge sharing across AAGI, and identify opportunities for collaboration and innovation in the Australian grains research community.
Agenda
| TIME | SESSION |
|---|---|
| 11:00 - 11:22 |
Setting the scene AAGI guidelines and the current AI landscape |
| 11:00 - 11:02 |
Welcome and event introduction Kristina Gagalova |
| 11:02 - 11:12 |
AI guidelines at AAGI Julian Taylor |
| 11:12 - 11:22 |
Current AI landscape: a general introduction Kristina Gagalova |
|
11:22 - 12:07 AI tools in research Using AI across the research workflow |
|
| 11:22 - 11:37 |
Literature review and research gap search with AI Peiye Li |
| 11:37 - 11:52 |
AI-driven tool development and responsible AI Sebastian Lopez Marcano |
| 11:52 - 12:07 |
Local AI overview and its relevance to sensitive teaching and research data Javier Fernandez |
|
12:07 - 12:37 Responsible data Working with real and synthetic data |
|
| 12:07 - 12:22 |
Real data for responsible AI: local AI and sensitive data management Xin Yu |
| 12:22 - 12:37 |
Synthetic data for responsible AI: generation, use and best practices Max Moldovan |
| 12:37 - 12:52 |
Open floor: linking the talks back to the AAGI guidelines Kristina Gagalova: All speakers |
Timing note: The workshop closes with a 15-minute open discussion linking the talks back to the AAGI guidelines.
Resources
- Slides: Coming soon