Artificial Intelligence

Resources

• 5th AI Winter School of the Austrian Academy of Sciences (ÖAW) 2026

  EN

  The 5th AI Winter School of the Austrian Academy of Sciences (ÖAW) 2026 includes presentations on key AI topics. Christopher Pollin presents ‘Vibe Coding & Promptotyping’ as AI-assisted approaches to software development without extensive programming skills. Patrick Rarivoson discusses ‘Open EuroLLM’, focusing on open European language models and digital sovereignty. Philip Winter introduces ‘Bias in ML’, explaining forms, consequences, and strategies for mitigating bias in machine learning.

• The 6th Digital History in Sweden Conference: Unboxing Digital Methods, Practices and Public Engagement

  EN

  In the following talks, selected from the 6th Digital History in Sweden Conference, the learner will gain new perspectives on the use of AI and citizen science in digitization and digital history projects. In addition, the learner will gain insight into the creation and care of digital archives applying postcolonial perspectives.

• Interrogating a National Narrative with GPT-2

  EN

  In this lesson, you will learn how to apply a Generative Pre-trained Transformer language model to a large-scale corpus so that you can locate broad themes and trends within written text.

• When Applied and Critical Digital Humanities Meets Democracy: the KT4D Project

  EN

  This webinar from Prof. Jennifer Edmond and Dr. Eleonora Lima at Trinity College Dublin discusses the Knowledge Technologies for Democracy (KT4D) project and its investigation into how democracy and civic participation can be better facilitated in the face of rapidly changing knowledge technologies, namely Artificial Intelligence (AI) and Big Data.

• Thinking With Machines: How Academics Can Use Generative AI Thoughtfully and Ethically

  EN

  The emergence of ChatGPT and other generative AI tools presents both opportunities and challenges for academia. While these technologies offer powerful capabilities to support scholarship, their thoughtless adoption could undermine the very foundations of academic work. This talk from Dr. Mark Carrigan, presented as part of the DARIAH Friday Frontiers webinar series, introduces a framework for incorporating generative AI into academic practice in ways that enhance rather than replace human thought.

• The Intelligent Twin: Understanding the Past, Navigating the Future with AI

  EN

  This resource provides an overview of how Artificial Intelligence and semantic technologies can support the development of Intelligent Digital Twins for cultural heritage. It explores semantic search systems, vector embeddings, predictive modelling, and simulation environments capable of transforming fragmented datasets into accessible and meaningful knowledge.

• Semantic Web and AI for Digital Humanities

  EN

  This short video introduces the work carried out as part of the DARIAH-FI initiative in Finland on creating a “Sampo series” Linked Open Data (LOD) services and semantic portals on top of them for Digital Humanities research. These systems have had up to millions of end users, which demonstrates the usability of the infrastructure and LOD-based approach used.

• Retrieving Context, Re-centring Interpretation: AI Hermeneutics and the Democratisation of Reading

  EN

  In digital humanities, retrieval technologies have always mediated how we read, from concordances to search engines. This talk introduces AI hermeneutics, an approach that treats retrieval-augmented generation (RAG) not as automation but as interpretive infrastructure, opening up an opportunity to integrate AI into the existing reading experience.

• Reconstruction Of Archaeological Objects As A Digital Twin

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  This resource aims to acquaint both DH experts and the general audience with the general idea, the workflows and advantages of transforming manual object reassembly and restoration into a digital twin.

• Performing Arts Studies and Digital Humanities

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  What connects analysing the creative process of a performance using 20,000 collected digital documents, reconstructing an artist's career from programme data, and preserving a touring show? Following a state-of-the-art review of research in performing arts and digital humanities (literature, history, and representation analysis), this Friday Frontiers webinar addresses current challenges, including data modelling, multimodal analysis, and artificial intelligence.

• Large Language Models for Analyses in Digital Humanities

  EN

  This video lecture explains the most frequent adaptations of LLMs: fine-tuning and prompt engineering on the example of social media analysis and folkloristics, and outlining an evaluation methodology.

• Introduction to Artificial Intelligence Prompt Engineering

  EN

  In this resource, learners will receive an introduction to artificial intelligence through the exploration of prompt engineering across text to text and text to image interfaces. Learners will also explore the positive varied applications of AI as well as the drawbacks.

• Ethical, Societal and Legal Complexities of Artificial Intelligence

  EN

  This tutorial provides interdisciplinary insight into the challenges stemming from the rapid development in and implementation of Artificial Intelligence. Learners will be equipped with a broader understanding of the philosophical issues surrounding AI as well as current real-world examples which are developing our relationship to AI and its growth.

• Designing the Backbone of the RHDT using AI and Network Science

  EN

  This resource discusses how the ARTEMIS project combines artificial intelligence, network science, knowledge graphs, and semantic ontologies to transform unstructured cultural heritage data into structured, machine-readable knowledge supporting Reactive Heritage Digital Twins (RHDTs).