Using generative AI responsibly and proficiently at work
Using generative AI responsibly and proficiently at work
11 March 2027, 13h00-17h00
General context
Generative AI is reshaping how you work, create, and communicate. This training will strengthen your AI literacy and help you use tools like Copilot and other LLM-based chatbots confidently and responsibly in professional contexts. You will learn practical prompting techniques to make these tools support brainstorming, tone and style adjustments, content drafting, summarization, and even generating visual ideas.
This session also covers ethical considerations such as ownership, copyright, and bias, ensuring you can use AI technologies effectively while maintaining integrity.
- Describe strengths, weaknesses, and best practices in the use of LLMs
- Apply good practices to minimize biases and hallucinations in LLMs
- Use and adapt prompting strategies for brainstorming, steering writing styles, defining language complexity, content drafting, and summarization
- Discuss ethical implications, ownership and copyright of AI-generated content
- Evaluate quality and reliability of AI-generated content
- Create illustrations with generative AI tools
Through interactive discussions and practical exercises, you will explore the main strengths, limitations, and best practices for working with generative AI. This includes experimenting with AI tools, practicing effective prompt design, and evaluating generated content for quality and trustworthiness.
We welcome administrative personnel, support staff, and anyone who aims to improve understanding and use of generative AI. Given the high versatility of this technology, the workshop is structured as an interdisciplinary initiative and is open to all, regardless of their position or field of work.
No prior experience with generative AI is required.
This course is part of the learning path Basic research essentials.
AI methods used
The course focuses on generative AI based on large language models (LLMs) that produce outputs through probabilistic prediction from large datasets. It covers prompting as the core method of interaction, showing how prompt structure and context shape outputs, and highlights key limitations such as bias, hallucinations and variability.
Trainers
Bruna Piereck
Bruna Piereck is a bioinformatics trainer at VIB and ELIXIR-BE training coordinator deputy. She obtained a Master and PhD degree in Molecular Genetics, with a focus on Bioinformatics from the Federal University of Pernambuco, Brazil, in 2019. During her PhD, she had the chance to collaborate with the university of Luxembourg and the McGill university in Quebec Canada for a short time. Ever since she has been involved with teaching and research and Since March 2022, she joined VIB with the mission of teaching and assist other trainers in a variety of topics.
Practical info
11 March 2027
Ghent - VIB/UGent FSVM II
Technologiepark 75
9052 Zwijnaarde
Belgium
11 March 2027
Ghent - VIB/UGent FSVM II
From Ghent Sint-Pieters station, you can take a bus to Technologiepark. Please check Routeplanner De Lijn for schedules.
11 March 2027
Ghent - VIB/UGent FSVM II
Looking for a custom cycling route? Try the online cycling route planner to easily and quickly identify the fastest, safest and/or most scenic route to any destination in Ghent.
Cycling route planner
Shared bicycles:
Several providers are active in the area.
Take a look at their platforms:
- Indigo Weel Pro app
- Bluebike
- DOTT
- BOLT eBikes
- Donkey Republic
There are also some public bicycle pumps at the park.
11 March 2027
Ghent - VIB/UGent FSVM II
There is only one entrance to Technologiepark. At the entrance, please take a ticket - Parking is only allowed in regular parking spots (for instance in front of the building) and in the parking tower. Parking alongside the roads or in other places where there is no regular parking is prohibited.