Jason Lucas

Jason Lucas

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.

Chain-of-Interactions: Iterative ICL Framework for Abstractive Task-Oriented Dialogue Summarization of Conversational AI Interactions featured image

Chain-of-Interactions: Iterative ICL Framework for Abstractive Task-Oriented Dialogue Summarization of Conversational AI Interactions

Chain-of-Interactions (CoI) introduces a novel multi-step framework that leverages LLMs' in-context learning capabilities for abstractive task-oriented dialogue summarization. …

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Jason Lucas
Organizing Committee Member — 12th MASC-SLL featured image

Organizing Committee Member — 12th MASC-SLL

Organizing Committee Member for the 12th Mid-Atlantic Student Colloquium on Speech, Language & Learning (MASC-SLL) at Penn State.

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Jason Lucas
Graph-based Molecular In-context Learning Grounded on Morgan Fingerprints featured image

Graph-based Molecular In-context Learning Grounded on Morgan Fingerprints

GAMIC introduces a novel self-supervised learning approach for molecular in-context learning that combines graph neural networks with Morgan fingerprints to better capture …

ali-al-lawati
Beemo - Benchmark of Expert-edited Machine-generated Outputs featured image

Beemo - Benchmark of Expert-edited Machine-generated Outputs

In this talk, we present Beemo, one of the first multi-author benchmarks for machine-generated text (MGT) detection that includes expert-edited responses. Our benchmark comprises …

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Jason Lucas
Penn State connections lead doctoral student to interdisciplinary College of IST featured image

Penn State connections lead doctoral student to interdisciplinary College of IST

Doctoral student Jason Lucas's academic journey from the West Indies to Penn State illustrates the power of mentorship and interdisciplinary thinking. With guidance from Professor …

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Jason Lucas
Beemo: Benchmark of Expert-edited Machine-generated Outputs featured image

Beemo: Benchmark of Expert-edited Machine-generated Outputs

Beemo introduces a novel benchmark featuring 6.5k expert-edited machine-generated texts across diverse domains from creative writing to summarization. Through comprehensive …

ekaterina-artemova
Semantic Captioning: Benchmark Dataset and Graph-Aware Few-Shot In-Context Learning for SQL2Text featured image

Semantic Captioning: Benchmark Dataset and Graph-Aware Few-Shot In-Context Learning for SQL2Text

This work introduces semantic captioning for SQL queries, addressing the reverse operation of semantic parsing by translating SQL code into natural language explanations. Using …

ali-al-lawati
Leadership Examples in Tech Rarely Look Like Me featured image

Leadership Examples in Tech Rarely Look Like Me

Informatics PhD student Jason Lucas reflects on his journey as a Black man in tech, sharing how his experiences have shaped his commitment to mentoring underrepresented students …

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Jason Lucas
Generative AI Disproportionately Harms Long Tail Users featured image

Generative AI Disproportionately Harms Long Tail Users

This Computer article examines how Generative AI disproportionately harms longtail users, focusing on the structural inequalities that emerge when AI systems are deployed without …

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How is artificial intelligence being used in journalism now? What's coming next? featured image

How is artificial intelligence being used in journalism now? What's coming next?

Jason Lucas joins WXXI's "Connections" to discuss the dangers of AI-driven disinformation campaigns during crises, alongside Oxford researcher Felix Simon's insights on AI …

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Jason Lucas