Dagstuhl Seminar 26252 — From Speech Translation to Multilingual Communication

Jun 14, 2026·
Jason Lucas
Jason Lucas
· 1 min read
Dagstuhl Seminar 26252 Invitation
Abstract
This invitation-only seminar brings together an interdisciplinary group of researchers from speech translation, interpretation studies, and human-computer interaction to explore how AI can better support multilingual communication in real-world scenarios. The seminar focuses on bridging the gap between technical advances and end-user needs, addressing critical questions such as evaluating translation quality for speech and empowering users across language barriers with AI tools.
Location

Schloss Dagstuhl – Leibniz Center for Informatics

Oktavie-Allee, Wadern, Saarland 66687

event

I am honored to be invited to Dagstuhl Seminar 26252: “From Speech Translation to Multilingual Communication – New Research Challenges” taking place June 14–17, 2026 at Schloss Dagstuhl in Germany.

This invitation-only seminar will bring together an interdisciplinary group of researchers from speech translation, interpretation studies, and human-computer interaction to explore how AI can better support multilingual communication in real-world scenarios.

The seminar’s focus on bridging the gap between technical advances and end-user needs resonates deeply with my research on addressing the digital language divide.

Organized by Marine Carpuat, Claudio Fantinuoli, Ge Gao, and Jan Niehues.

Jason Lucas
Authors
Ph.D. Candidate · Incoming Assistant Professor & Director, Secure and Ethical AI Lab (SEAL) — CU Boulder (Aug 2026)

I am a PhD candidate in Informatics in the College of IST at Penn State University, where I conduct research at the PIKE Research Lab under the guidance of Dr. Dongwon Lee. Starting August 2026, I will join the Department of Information Science at the College of Media, Communication and Information (CMDI), University of Colorado Boulder, as a Tenure-Track Assistant Professor and founding Director of the Secure and Ethical AI Lab (SEAL). My research advances trustworthy and equitable AI for the world’s languages and communities — spanning multilingual NLP, low-resource and dialectal language technology, AI safety, and information integrity, with work extending across 70+ languages. I have authored 14+ peer-reviewed papers with 315+ citations in premier venues including ACL, EMNLP, NAACL, ICML, and IEEE.

My doctoral research focuses on bridging the digital language divide through transfer learning, classification (NLU), generation (NLG), adversarial attacks, and developing end-to-end AI pipelines using RAG and Agentic AI workflows for combating multilingual threats. Drawing from my Grenadian background and knowledge of local Creole languages, I bring a global perspective to AI challenges, working to democratize state-of-the-art AI capabilities for underserved linguistic communities worldwide. My mission is to develop robust multilingual multimodal systems and mitigate evolving security vulnerabilities while enhancing access to human language technology through cutting-edge solutions.

As an NSF LinDiv Fellow, I conduct transdisciplinary research advancing human-AI language interaction for social good. I actively mentor 5+ research interns and teach Applied Generative AI courses. Through industry experience at Lawrence Livermore National Lab, Interaction LLC, and Coalfire, I bridge academic research with practical applications in combating evolving security threats and enhancing global AI accessibility. I see multilingual advances and interdisciplinary collaboration as a competitive advantage, not a communication challenge. Beyond research, I stay active through dance, fitness, martial arts, and community service.