Date: MARCH 24, 2026
Time: 10:30 AM – 12:00 AM
Location: ONLINE
Key Takeaways
- State of the Art: gain an understanding of how AI is currently used in academic work, where it performs well, and where its limitations become clear
- Workflow Integration: learn how to embed AI into reusable research workflows that span search and discovery, synthesis, analysis, writing, and revision
- Tool Selection: explore how to identify and select the most suitable AI tools for different research tasks
- Data Handling: develop clarity on how prompts and uploaded files are processed and discover practical ways to reduce risks when working with sensitive data
- Prompting: practical tips for better outputs
- Responsible Use: managing bias and hallucinations, avoiding peer-review pitfalls, and documenting AI support
- Transparency: transparent disclosure of AI assistance in academic work and how to implement it effectively
Overview
This Expert Talk provides a practical, workflow-focused introduction to using AI in academia.
What to expect
Participants will gain an overview of the current state of the art and explore how to integrate AI into everyday research tasks, including literature discovery and synthesis, data preparation and analysis, academic writing support, critical feedback, teaching activities, and workflow management.
The Expert Talk will also cover important considerations around ethics, compliance, and transparency, including sensitive data, bias and hallucinations as well as integrity requirements for AI-assisted outputs.
The Expert
Dr. Isabel Dregely is a PhD physicist and AI expert. She leads the AI & Data Analytics team at FH Technikum Wien, where she oversees teaching on data and AI and coordinates R&D projects. Her team focuses on AI and data technologies for medical imaging, predictive maintenance, renewable energies, fair AI, and teaching analytics. She has over 15 years of experience, has held positions at Harvard-MIT, UCLA, TU München, and King’s College London, and is an internationally awarded scientist and frequent speaker.
Key Takeaways
- State of the Art: gain an understanding of how AI is currently used in academic work, where it performs well, and where its limitations become clear
- Workflow Integration: learn how to embed AI into reusable research workflows that span search and discovery, synthesis, analysis, writing, and revision
- Tool Selection: explore how to identify and select the most suitable AI tools for different research tasks
- Data Handling: develop clarity on how prompts and uploaded files are processed and discover practical ways to reduce risks when working with sensitive data
- Prompting: practical tips for better outputs
- Responsible Use: managing bias and hallucinations, avoiding peer-review pitfalls, and documenting AI support
- Transparency: transparent disclosure of AI assistance in academic work and how to implement it effectively
This Expert Talk is open & free of charge for everyone.
Date: MARCH 24, 2026
Time: 10:30 AM – 12:00 AM
Location: ONLINE
Key Takeaways
- State of the Art: gain an understanding of how AI is currently used in academic work, where it performs well, and where its limitations become clear
- Workflow Integration: learn how to embed AI into reusable research workflows that span search and discovery, synthesis, analysis, writing, and revision
- Tool Selection: explore how to identify and select the most suitable AI tools for different research tasks
- Data Handling: develop clarity on how prompts and uploaded files are processed and discover practical ways to reduce risks when working with sensitive data
- Prompting: practical tips for better outputs
- Responsible Use: managing bias and hallucinations, avoiding peer-review pitfalls, and documenting AI support
- Transparency: transparent disclosure of AI assistance in academic work and how to implement it effectively