April 2026 - Eadh-topics - lists.digitalhumanities.org

AI 4 Science conference, 5-9 October 2026 in Mainz
by Dr. Nadezhda Povroznik 09 Apr '26

09 Apr '26

Dear colleagues from DH and from AI applications research for journalism, education, law, media, market research, market communication, intelligent interfaces, etc., in the context of AI 4 Science conference, 5-9 October 2026 in Mainz, there will be a *** AI4Humanities&SocialSciences *** track, chaired by Julianne Nyhan https://www.linkedin.com/in/julianne-nyhan-77319133b/ (Technical University Darmstadt) and Christoph Bläsi (Johannes Gutenberg University Mainz) For this track, we invite contributions, also from application fields, on topics like: - (innovative) theoretical and analytical applications of AI in HSS (Humanities and Social Sciences) and critiques thereof, for example concerning AI and hermeneutics and tools for empirical and analytical research (e.g. for content analysis) - ethical dimensions of the use of AI in HSS, for example, where AI may lead to the reinscription or activation of long standing or new dynamics of bias or an inappropriate use of resources or applications like deathbots - source analysis and source criticism of AI in HSS, for example, multimodal - AI and vector-based search - AI applications close to the methodological frontier in application areas linked to HSS, e.g. journalism, education, law, media, market research, market communication, intelligent interfaces, etc. - (innovative) presentation and dissemination of HSS research with the help of AI, for example storytelling - (innovative) approaches to the inclusion of stakeholders outside academia in Digital Humanities and Digital Social Sciences research, for example citizen science Regularly updated information on the conference and particularly the AI4HSS track you will find here: https://ai4sci.eu/ai4humanitiessocialsciences/. On behalf of the HDSM team, Technical University Darmstadt

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Call for Abstracts - 3rd Workshop on Frictional Design in Hybrid Human-AI Systems | Jul 7, Brussels @ HHAI26
by c.natali6＠campus.unimib.it 08 Apr '26

08 Apr '26

(apologies if you receive multiple copies of this call for abstracts) -------------------------------------------------- CALL FOR EXTENDED ABSTRACTS Third Workshop on Frictional Design in Hybrid Human-AI Systems Co-located with the 5th International Conference on Hybrid Human-Artificial Intelligence (HHAI26) July 7, 2026 | Brussels, Belgium (in-person) Workshop website: https://sites.google.com/view/frictional-ai/home -------------------------------------------------- **Workshop Overview** This full-day workshop explores frictional design strategies in Human–AI interaction: design patterns that deliberately create moments of reflection, critical thinking, and cognitive effort in AI-supported decision-making. While contemporary AI systems are typically optimised for efficiency and seamless interactions, growing evidence in HCI, cognitive science, and safety-critical domains shows that overly smooth interaction can promote cognitive offloading, automation bias, over-reliance, and skill erosion. Frictional design examines when and how interaction mechanisms can slow down decision-making at appropriate moments in order to support human oversight, judgement, and appropriate reliance. Example mechanisms include: - requiring users to reason themselves before accessing AI support and/or scaffold reasoning through staged or reflective interaction - introducing novel uncertainty visualisations, present explanations or evidence in ways that prompt active scrutiny - any other approach that balances or favours cognitive engagement over seamless usability and speed Building on the success of the two previous editions, this workshop aims to advance an interdisciplinary dialogue between scholars across HCI, AI, cognitive science, and AI governance. The programme will include paper presentations, a keynote, structured discussions, and collaborative activities aimed at developing a shared research agenda for stimulating cognitive engagement in human-AI interactions. **Keynote** Bogdana Rakova (DLA Piper, Data & Society Research Institute, ex-Mozilla Fellow) Talk: “Speculative Friction: Exploring existing, speculative, and instrumental frictions in AI design and governance” **Topics of Interest** We invite extended abstracts from researchers, practitioners, and policymakers on topics including (but not limited to): - Design Principles for Cognitive Engagement (Interaction strategies that balance efficiency with reflection and critical engagement) - Methods to Measure Over-Reliance and Under-Reliance (Frameworks, metrics, or empirical studies assessing how AI affects human judgement, expertise, and decision behaviour) - Trust Calibration and Transparency (Investigations of how explanations, uncertainty communication, or interface design influence trust and reliance) - Governance and Policy Approaches (Legal, regulatory, or organisational perspectives on incorporating frictional principles into AI deployment and oversight) - Applications and Case Studies (Empirical studies, prototypes, or deployments demonstrating seamful or frictional interaction patterns in practice) **Submission Details** - Submission type: Extended Abstracts (500--1,500 words - to be extended to 5 pages for the post-workshop proceedings) - Format: CEURART-WS template (see workshop website) - Submission system: https://cmt3.research.microsoft.com/FrictionalAI2026 Accepted papers will be published in the HHAI 2026 Workshop Proceedings (CEUR-WS). At least one author of each accepted paper must attend the workshop in person and register for the HHAI conference (single-day registration options available). **Important Dates** (AoE) - Submission deadline: 1 May, 2026 - Notification: 29 May, 2026 - Camera-ready: 19 June, 2026 - Workshop: 7 July, 2026 **Beyond the Workshop** This workshop series aims to build a research community around frictional and cognitively engaging AI design. Authors and participants will be invited to contribute to follow-up initiatives, including collaborative publications, special issues, and future events. Interested researchers can join the mailing list: https://www.freelists.org/list/friction **Organisers** Chiara Natali, Vrije Universiteit Amsterdam Fabio M. Russo, IMT School for Advanced Studies Lucca Simon W. S. Fischer, Radboud University Manni Cheung, University of Cambridge Brett Frischmann, Villanova University For further information: https://sites.google.com/view/frictional-ai/home

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[CALL FOR APPLICATIONS] DANES ScHack 2026 — First DANES Summer School & Hackathon | University of Turin | July 6–10, 2026
by shygordin＠gmail.com 08 Apr '26

08 Apr '26

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[CFP] GenAIK-NORA Joint Workshop @ IJCAI-ECAI 2026
by Btissam Er-Rahmadi 07 Apr '26

07 Apr '26

Hi All, We are pleased to announce GenAIK-NORA: The Joint Workshop on Generative AI and Knowledge Graphs and KNOwledge GRaphs & Agentic Systems Interplay, which will be co-located with IJCAI-ECAI 2026 in Bremen, Germany. More details below. *Joint Call for Papers---------------------------------------------------------------------------------Joint Workshop on Generative AI and Knowledge Graphs (GenAIK) and KNOwledge GRaphs & Agentic Systems Interplay (NORA),15-17 August 2026, Bremen, GermanyWeb: https://genetasefa.github.io/GenAIK2026/ <https://genetasefa.github.io/GenAIK2026/> and https://nora-workshop.github.io/IJCAIECAI2026/ <https://nora-workshop.github.io/IJCAIECAI2026/>X: @GenAIK26 LinkedIn: https://www.linkedin.com/groups/9868047 <https://www.linkedin.com/groups/9868047> and https://www.linkedin.com/company/nora-knowledge-graphs-agentic-systems-inte… <https://www.linkedin.com/company/nora-knowledge-graphs-agentic-systems-inte…>Mastodon: https://sigmoid.social/@GenAIK <https://sigmoid.social/@GenAIK> ---------------------------------------------------------------------------------In conjunction with IJCAI-ECAI 2026, August 15-19---------------------------------------------------------------------------------Workshop Overview---------------------------------------------------------------------------------Recent advances in Generative Artificial Intelligence (GenAI) and Large Language Models (LLMs) have transformed the AI landscape, enabling systems to generate multimodal content and perform increasingly complex reasoning and decision-making tasks. Despite these advances, generative models still face important challenges, including hallucinations, limited interpretability, and difficulties in grounding outputs in reliable domain knowledge.Knowledge Graphs (KGs) provide a principled framework for representing structured and interconnected knowledge through entities, relations, and formal ontologies. They enable interpretability, reasoning, and the integration of domain expertise, making them an important component for building reliable and trustworthy AI systems. At the same time, LLM-based agents are emerging as a powerful paradigm for building autonomous systems capable of planning, tool use, and long-term task execution, often requiring structured representations of knowledge and memory.The interaction between generative models, agentic systems, and knowledge graphs is therefore becoming an important research direction in contemporary AI. This workshop aims to bring together researchers and practitioners from AI, NLP, Knowledge Graphs, Semantic Web, and Hybrid AI to explore methods, systems, and applications that combine these paradigms.This edition represents a joint workshop, bringing together the communities of GenAIK (Generative AI and Knowledge Graphs) and NORA (Knowledge Graphs and Agentic Systems Interplay) to foster collaboration across these complementary research areas.---------------------------------------------------------------------------------Topics of Interest---------------------------------------------------------------------------------- KG construction, completion, and refinement with GenAI and Agents— Text-to-KG extraction using LLMs (multilingual, multimodal)— KG completion, cleaning, and refinement (deduplication, entity resolution)— Fact verification, contradiction detection, and consistency checking— Human-in-the-loop KG curation and interactive refinement- KG grounding for information retrieval, including generation, querying, and dialogue— KG-grounded generation / GraphRAG (subgraph retrieval, path-based evidence)— Natural language querying of KGs via GenAI (e.g., NL-to-SPARQL) — Hybrid QA and dialogue systems combining KGs and GenAI (e.g., Agents) — Prompting / controllable generation using KG structure and constraints— Context and memory indexing and retrieval for GenAI and agents- Neuro-symbolic methods, reasoning, and explainability— Hybrid reasoning with rules, constraints, and structured evidence — Explainability and verifiable reasoning with provenance/evidence graphs — Cross-domain knowledge transfer with KGs and GenAIK- Representations, embeddings, and temporal/evolving KGs— GenAI for KG embeddings and hybrid vectorgraph representations — Temporal KGs, dynamic updates, continual learning, concept drift — Ontology learning, schema induction, alignment, and schema evolution- Trustworthiness, safety, and governance— Bias mitigation using KGs in GenAI and Agentic Systems— Hallucination reduction via grounding/constraints; robustness to attacks — Uncertainty estimation and calibrated confidence — Privacy, access control, and policy-aware KG-grounded generation- Agentic KGs and real-world systems — Agentic KGs: KGs as long-term memory/state for LLM agents— KGs serving agents' memories: Episodic (experiences, events, etc.), Semantic (facts, concepts, etc.), and — Procedural (skills, tasks, etc.)— KG-aware planning, tool use (query/update), and multi-agent coordination— Collaborative & shared agent memories and contexts.— Context Engineering enhanced by KGs- GenAI/Agents and KG Applications— Efficient and proactive personal assistance & Personalisation— Multi-Lingual & Multi-modal integrations and enablement— Personalisation vs Generalisation in GenAI and Agentic systems memory— Domain-specific applications: scholarly knowledge, biomedicine & healthcare, finance, education, etc.— Task-specific applications: personal assistance, dialogue systems, recommender systems, customer service, etc.— Architectures and pipelines - Datasets, benchmarks, and evaluation— Benchmark datasets for GenAI or Agents plus KG tasks— Evaluation of grounding/faithfulness, factuality, reasoning, robustness— Evaluation pitfalls: data leakage, LLM-as-a-judge bias, reproducibility, and reporting standards------------------------------------------------------------------------------------Important Dates (AoE)------------------------------------------------------------------------------------- Submission Deadline: 7 May 2026- Notification of Acceptance: 10 June 2026- Camera-ready Paper Due: 25 June 2026- Workshop date (In-Person): 15, 16, or 17 August 2026------------------------------------------------------------------------------------Submissions Guidelines, Policies, and Awards are available on the website.---------------------------------------------------------------------------------------------------------------------------------------------------------------------Organization---------------------------------------------------------------------------------GenAIK Team:- Genet Asefa Gesese, FIZ Karlsruhe, KIT, Germany- Angelo Salatino, The Open University, UK.- Blerina Spahiu, University of Milano-Bicocca, Italy- Shenghui Wang, University of Twente, The Netherlands - Heiko Paulheim, University of Mannheim, GermanyNORA Team:- Btissam Er-Rahmadi, Independent Researcher, UK- Sebastien Montella, Huawei Technologies R&D UK Ltd, UK- Damien Graux, EcoVadis, UK- Andre Melo, Huawei Technologies R&D UK Ltd, UK- Hajira Jabeen, University Hospital Cologne, Germany* -- Btissam Er-Rahmadi

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AI-BRIDGES Symposium: Institutional Data, Open Knowledge & AI — May 28–29, London (free)
by Shani Evenstein Sigalov 01 Apr '26

01 Apr '26

Dear friends & colleagues, *TLDR: *You are invited to a free two-day event at Senate House, London, bringing together institutions, Open Knowledge communities, AI developers, researchers and funders. The event will focus on how institutional data, Linked Open Data, and GenAI can be better connected, featuring hands-on workshops, an expert panel (incl. Jimmy Wales, Denny Vrandečić, Prof. Elena Simperl, Renata Avila and others), and collaborative roundtables. More details & registration here <https://ai-bridges.org/2026/02/13/symposium/>. *The more elaborate version: * I have been wanting to write here for a few months now about AI-BRIDGES, and am excited to finally do that and specifically invite you to the AI-BRIDGES Symposium. For those researching the intersection of institutional data governance, Open Knowledge, and AI, an event that combines research dialogue with hands-on collaboration may be of interest. AI-BRIDGES <https://ai-bridges.org/> is a European Commission-funded project exploring how institutional data, Linked Open Data platforms like Wikidata & Wikibase, and Generative AI can be better connected, practically and responsibly. We work with various partners in the UK and globally (a partial list of which you could find here <https://ai-bridges.org/partners/>), and the project serves as a convening, facilitating and innovative space that connects communities that otherwise work in silos, in order to collaboratively tackle some joint challenges. On *May 28–29*, we're hosting a Symposium at *Senate House, University of London*: *Day 1 (Thu):* *pre-Symposium training day:* training about Wikidata, Wikibase, AI embeddings & MCP, and vibe coding for institutions and practitioners. Online attendance is possible. *Day 2 (Fri):* *the main Symposium day*: intro & framing, Expert panel & facilitated roundtables. Only in person (most will be recorded). *Panelists* include *Jimmy Wales* (Founder of Wikipedia), *Dr. Denny Vrandečić* (Founder of Wikidata & lead of Abstract Wikipedia), *Jon Lloyd* (Director of Advocacy, Digital Public Good Alliance), *Renata Avila* (CEO, Open Knowledge Foundation), *Prof. Elena Simperl* (Co-director King’s College Institute for AI; director of research Open Data Institute), *Dr. Aaron Halfaker* (Principal Scientist, Microsoft), and *Josie Fraser* (Head of Digital Policy, National Lottery Heritage Fund UK), alongside representatives from government, cultural heritage, academia and civil society. The *roundtables* are designed for collaborative problem-solving, participants work together on real challenges and leave with concrete next steps. Attendance is free, but registration is required. For more details and registration, please see here <https://ai-bridges.org/2026/02/13/symposium/> . *Beyond the Symposium*, AI-BRIDGES hosts monthly Open Forum meetings (last Friday of each month, 15:00 UK time), an open space for shared learning and collaboration. See here to learn how to join the google group and become a thought partner <https://ai-bridges.org/2026/01/06/open-forum/>. Finally, if you work at an institution, please check the "Get Involved" tab <https://ai-bridges.org/get-involved/>, specifically around contributing sample data to the project. If you have any questions or want to partner, we'd love to hear from you <https://ai-bridges.org/about/>. Best, Shani. -------------------------- Dr. Shani Evenstein Sigalov Marie Curie Postdoctoral Researcher & AI-BRIDGES <https://ai-bridges.org/> project lead Digital Humanities Research Hub School of Advanced Study University of London +44-7783056290

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