In this panel discussion, we explore the tension between technological empowerment and the fear of being replaced. Join us in discussing a future that has already begun.

Moderator:
Stefan Geier (science journalist)

Speakers:

• Motte Jansen (film director)
• Jürgen Geuter (computer scientist and philosopher, Stifterverband)
• Dr. Sabrina Patsch (physicist and journalist)
• Prof. Dr. Bela Gipp (Professor of Scientific Information Analytics, University of Göttingen)

Date & Time:
Wednesday, May 6, 2026, 18:30–20:00

Location:
Forum Wissen
(Berliner Str. 28, 37073 Göttingen)

Admission: Free (registration required at https://forum-wissen.de/event/salon-debatte-ki/)

Der Beitrag Panel Discussion on May 6: “Artificial Intelligence – Assistant or Competitor?” erschien zuerst auf Prof. Dr. Bela Gipp, University of Göttingen, GippLab.

When: April 30, 2026, 4:30 pm
Where: Historic Building of the State and University Library Göttingen (SUB), room 1.207
What:
The HathiTrust Research Center (HTRC) provides analytic access to 19 million volumes found in the HathiTrust Digital Library (HTDL). Roughly 10 million of the volumes in the collection are under copyright restrictions and cannot be freely shared with scholars. To provide more open access to HathiTrust’s materials, the HTRC has released its Extracted Features (EF) 2.5 Dataset, which contains over 3 trillion unigram tokens found on each of the 6 billion pages in the corpus.

Prof. Downie will provide a briefing update on the HTRC’s ongoing “Tools for Open Research and Computation with HathiTrust: Leveraging Intelligent Text Extraction” (TORCHLITE) project. Funded by the National Endowment for Humanities (NEH), TORCHLITE strives to create easy-to-use text analysis tools, dashboards, and application programming interfaces (APIs) to facilitate open cultural analytics research using the uniquely valuable HTDL data. The talk will highlight motivations, challenges, and accomplishments of the TORCHLITE to date, along with its upcoming next steps that envision the creation of an international consortium of similar groups, tentatively called the “International Consortium for Open Cultural Analytics,” which is designed to encourage Extracted Feature access to otherwise closed collections. The talk will conclude with a conversation about the upcoming sunsetting of HTRC and the role that EF will play in continuing the work of the HTRC team and other digital humanities scholars.

Speaker:
J. Stephen Downie is a professor and the Executive Associate Dean at the School of Information Sciences, University of Illinois at Urbana-Champaign. He is also the Illinois Co-Director of the HathiTrust Research Center. Professor Downie conducts work in Digital Libraries, Digital Humanities and Music Information Retrieval. He holds degrees from the University of Western Ontario, including a BA (music theory and composition), a Master’s of Library and Information Science (MLIS), and a PhD in Library and Information Science.

Der Beitrag Upcoming Talk on April 30: Creating Data and Tools for Open Cultural Analysis Activities: TORCHLITE and Beyond erschien zuerst auf Prof. Dr. Bela Gipp, University of Göttingen, GippLab.

While current large language models, such as ChatGPT and Gemini, can produce text that appears human-like, they often miss the underlying linguistic nuances that connect different phrasings of the same idea. A direct example of this limitation is the inability of such models to reliably explain why and how two text segments are similar, or the linguistic characteristics that distinguish similar texts. This project aims to give AI a deeper understanding of the text it generates and manipulates. 

The key innovation of the project lies in the concept of “paraphrase types.”  Instead of treating paraphrasing as a simple binary choice (either two sentences mean the same thing or they don’t) Dr. Ruas proposes shifting the paradigm in paraphrase generation and detection to a more granular one using specific linguistic changes. These can range from simple word swaps (lexicon) to altering sentence structure (syntax), to more complex changes such as switching from active to passive voice (diathesis).  “This approach has great practical relevance because a better understanding of AI generation methods could, among other things, revolutionize plagiarism detection,” says Dr. Jan Philip Wahle, who wrote his dissertation on the topic and now works as a project leader in the research group.

The project team will collaborate with a team of researchers in Germany and abroad, including researchers from the University of Göttingen, GWDG, University of Wuppertal, LMU Munich, the National Institute of Informatics in Japan, Federal University of ABC and University Center FEI in Brazil, and the National Research Council in Canada. 

Press release by Göttinger Tageblatt: https://www.goettinger-tageblatt.de/beruf-und-bildung/regional/wer-schrieb-den-text-wirklich-goettinger-projekt-sucht-versteckte-muster-von-ki-und-menschen-GBBROHMF7ZA5NPZ4CYMZ4LIUGQ.html

Der Beitrag DFG Funds Project on Paraphrase Types and Plagiarism Detection erschien zuerst auf Prof. Dr. Bela Gipp, University of Göttingen, GippLab.

• When: Tuesday, 22 September 2026 – Wednesday, 23 September 2026
• Where: Göttingen

Refer to this website for upcoming program details and registration.

Your orga team: Stephan Janosch, Inga Ulusoy, Mustafa Dogan, Bernadette Fritzsch, Bela Gipp, Lukas Netz, Sebastian Nielebock

P.S. Interested in participating in the organization and contributing to the program? Would you like to get involved in teaching hands-on sessions or presenting at the workshop? Please get in touch at ai-in-rse-workshop26@listserv.dfn.de by February 28, 2026.

Der Beitrag Workshop on AI-Supported Research Software Engineering erschien zuerst auf Prof. Dr. Bela Gipp, University of Göttingen, GippLab.

Read more about the project and its goals (in German).

Der Beitrag Virtual Research Librarian: campus | inform reports on the LibraryAI project erschien zuerst auf Prof. Dr. Bela Gipp, University of Göttingen, GippLab.

AI-generated media has significantly expanded the scope of digital crime. Highly realistic deepfake videos, cloned voices, and automated disinformation campaigns are now frequently used in fraud, identity theft, impersonation, and digital extortion. As a result, police work is increasingly shifting into the digital domain. While traditional street crimes such as pickpocketing are declining, citizens are more often confronted with sophisticated scams in which they are contacted by seemingly trustworthy individuals, authorities, or superiors and urged to transfer large sums of money – only to later discover that these communications were entirely AI-generated. 

At the GippLab, the project is being carried out by incoming graduate researchers Adam Lehavi and Kia-Jüng Yang, under the supervision of Dr. Terry Lima Ruas and Dr. Jan Philip Wahle. Their work focuses on developing a state-of-the-art multimodal dataset and generation pipeline for AI-manipulated content, designed to keep pace with the rapidly evolving capabilities of generative models. 

The fake news project addresses a growing societal and scientific challenge: existing deepfake detection systems are increasingly strained by the realism, diversity, and scale of AI-generated manipulations. Over a structured, multi-phase research program, the team will analyze gaps in current datasets, collect and preprocess authentic source material, generate single-modal and synchronized multimodal deepfakes, and systematically annotate and standardize the resulting data. The outcome will be a robust benchmark dataset and an automated pipeline ready to handle the challenges of an evolving and changing landscape. 

By combining expertise in natural language processing, computer vision, and generative AI, the project aims to strengthen the scientific foundations of deepfake detection research. Beyond academic impact, the project contributes to broader efforts to combat misinformation, cybercrime, and digital fraud, supporting reliable authenticity systems for media, research, and society at large. 

Der Beitrag GippLab Joins International Research Project to Detect Fake News erschien zuerst auf Prof. Dr. Bela Gipp, University of Göttingen, GippLab.

In the presence of his family, friends, and colleagues, Jan Philip delivered an outstanding presentation of his work, earning him the title of Dr. rer. nat. The entire team extends its heartfelt congratulations on this significant achievement.

If you’d like to learn more about Dr. Wahle’s research on paraphrase generation and language modeling, his Dissertation is available here.

Der Beitrag Congratulations to Jan Philip Wahle on his successful PhD thesis defense erschien zuerst auf Prof. Dr. Bela Gipp, University of Göttingen, GippLab.

(1) SPaRC: A Spatial Pathfinding Reasoning Challenge
by Lars Benedikt Kaesberg, Jan Philip Wahle, Terry Ruas, and Bela Gipp

TL;DR: SPaRC is a 2D pathfinding dataset that necessitates multi-step spatial and rule-based reasoning, underscoring a significant gap in spatial understanding between human and AI reasoning models.

Paper: https://aclanthology.org/2025.emnlp-main.526 or https://sparc.gipplab.org

Poster: https://www.slideshare.net/slideshow/emnlp-2025-poster-sparc-a-spatial-pathfinding-reasoning-challenge/284023981

Presentation: Wed. Nov. 5, 14:30-16:00, Hall C

(2) Contrastive Learning Using Graph Embeddings for Domain Adaptation of Language Models in the Process Industry
by Anastasia Zhukova*, Jonas Lührs*, Christian E. Lobmüller, and Bela Gipp (*equal contribution)

TL;DR: We explore the use of knowledge graphs for fine-tuning language models, specifically the text encoder, when the text domain data is low-resource.

Paper: https://aclanthology.org/2025.emnlp-industry.103/

Poster: https://www.slideshare.net/slideshow/contrastive-learning-using-graph-embeddings-for-domain-adaptation-of-language-models-in-the-process-industry/283913368

Presentation: Wed., Nov. 5, 14:30-16:00, Hall C, Industry Poster Session 1

(3) MALLM: Multi-Agent Large Language Models Framework
by Jonas Becker*, Lars Benedikt Kaesberg*, Niklas Bauer, Jan Philip Wahle, Terry Ruas, and Bela Gipp (*equal contribution)

TL;DR: A framework for multi-agent debate to conduct your research experiments. Evaluate agent personas, response generators, discussion paradigms, and decision protocols.

Paper: https://aclanthology.org/2025.emnlp-demos.29/ or https://mallm.gipplab.org

Poster: https://www.slideshare.net/slideshow/mallm-multi-agent-large-language-models-framework-emnlp-2025/284028707

Presentation: Thu., Nov. 6, 16:30-18:00, Hall C

(4) TrojanStego: Your Language Model can Secretly Be A Steganographic Privacy Leaking Agent
by Dominik Meier, Jan Philip Wähle, Paul Röttger, Terry Ruas, Bela Gipp

TL;DR: We explore a novel threat model where LLMs secretly embed information in their output.

Paper: https://aclanthology.org/2025.emnlp-main.1386/

Poster: https://pdfhost.io/v/WsBM3XwhdJ_TrojanStego-Dm-JW-2-1

Presentation: Fri., Nov. 7, 10:30-12:00, Hall C

(5) Re-FRAME the Meeting Summarization SCOPE: Fact-Based Summarization and Personalization via Questions
by Frederic Kirstein, Sonu Kumar, Terry Ruas, Bela Gipp

TL;DR: We introduce FRAME, a fact-centric pipeline that incorporates statement–context tuples, along with SCOPE, a reason-out-loud personalization protocol, and P-MESA, a reader-aligned metric. We reframe summarization as enrichment, cutting hallucination/omission, and improving relevance, goal alignment, and knowledge fit in meeting summaries.

Paper: https://aclanthology.org/2025.findings-emnlp.1094/

Poster: https://de.slideshare.net/slideshow/emnlp25-poster/284036994

Presentation: Fri., Nov. 7, 12:30-13:30, Hall C

Der Beitrag GippLab Presents Five Papers at EMNLP Conference in China erschien zuerst auf Prof. Dr. Bela Gipp, University of Göttingen, GippLab.

The discussion, also attended by Prof. Shigeo Sugimoto, Acting Director-General of the NII, underscored the strong academic and cultural ties between German and Japanese research institutions. The DAAD President’s visit emphasized the significance and enduring success of this international partnership, which has been generously supported by the DAAD for over a decade.

Our cooperation with the NII offers students and early-career researchers at the University of Göttingen unique opportunities for research stays in Tokyo. Details are available at https://gipplab.uni-goettingen.de/tokyo.

Der Beitrag GippLab Showcases Research to DAAD President at NII Tokyo erschien zuerst auf Prof. Dr. Bela Gipp, University of Göttingen, GippLab.

We are looking for highly motivated individuals who are eager to contribute to innovative and impactful research projects in the areas of computer science, natural language processing, information analytics, and related fields.

Your Profile:

• M.S. or Ph.D. in a computer science-related subject at the University of Göttingen, or from a top international research university
• Experience in one or more of our group’s areas of research, such as NLP, Reasoning, AI Safety, and Media Bias
• Proficient programmers (especially Python and Java)
• Committed problem solvers with an analytical and independent work ethic
• Excellent communication and writing skills in English and German

We Offer:

• Innovative and impactful research projects
• Close mentorship & access to industry and academic networks, attending workshops and conferences, etc.
• Productive and collegial working atmosphere in a young & international research group

How to Apply

Follow this page to see the most recent calls and deadlines and official application deadlines and documents to be submitted.

Der Beitrag We’re Hiring Eight New Researcher Positions erschien zuerst auf Prof. Dr. Bela Gipp, University of Göttingen, GippLab.