AI Literacy Workshop
Welcome to a workshop about AI literacy, under Big Data Conference 2025.
The workshop around AI literacy will cover various topics to provide participants with a foundational understanding of artificial intelligence. Overall, the goal of the workshop is to demystify AI, empower participants with essential knowledge and skills, and foster critical thinking about the opportunities and challenges associated with artificial intelligence.
This workshop is a part of the Big Data Conference. More information about the conference on this webpage. https://lnu.se/en/meet-linnaeus-university/current/events/2025/konferenser/big-data-2025/
Programme
13:00 - Mingle
13:20 - Welcome
13:30 - Introduction to Artificial Intelligence, Key Concepts and Terminology (Welf Löwe)
- Definition of artificial intelligence (AI).
- Historical background and evolution of AI.
- Importance and applications of AI in various fields.
- Overview of fundamental concepts in AI, such as machine learning, deep learning, neural networks, and natural language processing.
- Explanation of common AI terminology, including algorithms, models, training data, and inference.
- Examples
14:00 - Gen AI som ett verktyg i den akademiska vardagen I (Satish Strömberg)
This is a hands-on session so please ensure that have created accounts and downloaded apps on your smartphone.
- Foundational and customised Gen AI applications
- Providers, applications and models of Gen AI
- Model capabilities and fine-tuning your AI
- Prompting to improve the reliability outputs
- From input to output: what happens to your prompt?
15:00 - Coffee break
15:30 - Gen AI som ett verktyg i den akademiska vardagen II (Satish Strömberg)
- From input to output: what happens to your data?
- Conversational AI as a dialogue partner in your research and teaching
- Generative AI can support your critical thinking, not replace it. How to maintain your academic integrity
16:30 - Gen AI as an augmenting tool for researchers (Jonas Svensson):
- How and why should we integrate GenAI into our research workflows?
- Mapping the field and finding lacunas. Deep research and beyond.
- Working with data: Excercises can be found here.
- Text analysis: topic modelling and thematic coding, relationships and network analysis, sentiment analysis.
- Transcription: sound, handwriting. OCR
- Image analysis.
17:30-18:00 Q&A Session (All organizers)
- Opportunity for participants to ask questions, share insights, and engage in discussions with the workshop facilitator and fellow attendees.
Huminfra is a Swedish national infrastructure supporting digital and experimental research in the Humanities by providing users with a single entry point for finding existing Swedish materials and research tools, as well as developing national method courses. Huminfra is a consortium consisting of 12 nodes across 11 universities and organisations, coordinated by Lund University Humanities Lab.