Directory

AI safety; AI governance; model auditing and monitoring; drift and bias detection; AI system architecture; safe integration of AI components; non-determinism. . . and reproducibility in AI; accountability and contestability; privacy-preserving AI deployment; cross-domain best practices for responsible AI

I am interested in the relationship between emotional intelligence (EI) and how people engage with artificial intelligence (AI) for emotion-related problems.. . . EI, defined as the ability to perceive, understand, use, and manage emotions, is well established as an interpersonal skill. My research looks at whether these abilities translate to more effective AI use through prompt writing and AI response evaluation.

My research focuses on development and application of data-driven and machine-learning algorithms to various domains of transportation engineering. The specific. . . application domains include structural condition evaluation, damage identification and quantification using NDTs; Traffic flow predictions; Traffic safety analysis; Reliability analysis of highway designs.

My research lies at the intersection of artificial intelligence, autonomous scientific discovery, computational materials science, and scientific. . . decision-making. I am particularly interested in the responsible use of AI in autonomous research systems, including human oversight, epistemic trust, interpretability, scientific agency, and the broader implications of increasingly autonomous AI systems for knowledge creation.

corpus-based genre analysis and pedagogy, second language (L2) writing and assessment, and computer-assisted language learning. I am particularly interested in. . . applying LLMs to empower genre analytical approaches to language use, and promoting socially responsible use of AI to enhance language teaching and learning.

My research interest focus on AI governance, digital public administration, and socially responsible technology adoption. I am particularly interested in how. . . governments design and implement AI policies to balance innovation with transparency, accountability, and social equity while also minimizing risks and unintended consequences.

Ethical integration of AI and technology for teaching and learning, especially how to engage with AI as a collaborator in the process of pedagogical design,. . . teaching, learning, and reflection/evaluation

My research, conducted through the Food Decision Research Lab (FDRL), uses choice modeling and behavioral economics to study food decisions in. . . food-away-from-home contexts such as restaurants, schools, and other foodservice environments; and small business financial decision-making under uncertainty. I am increasingly interested in AI as a leverage point for improving both types of decisions, and in the ethical implications of AI and robotics in shaping consumer and business decision environments.

My research interests focus on the responsible and human-centered use of artificial intelligence in healthcare, particularly AI-assisted pressure injury. . . assessment and clinical decision-making. I am interested in equity and inclusivity in AI, trust and transparency, ethical implementation, and translating AI technologies into safe, clinically meaningful nursing and wound care practice.

Her research interests include methodological developments in the area of data privacy and confidentiality in the context of small and large scale surveys,. . . health, genomic, and network data. Her focus is on the interplay of tools from statistics and computer science that leads to formal privacy protection -such as differential privacy- and broad data access, but also offers guarantees of accurate statistical inference needed to support reliable science and policy. Other past and current research interests include evaluation methods for human performance in virtual environments, statistical data mining, application of statistics to information sciences and social sciences, algebraic statistics, and causal inference.

I am interested in the acquisition and use of language via augmentative and alternative communication (AAC). AAC includes tools, methods, and strategies to. . . support communication for individuals who have little or no functional speech due to disability, including speech generating devices (SGD). AI will have an enormous impact in the design of communication technologies and it is critical that their use reflects operating principles of language development as well as is made widely accessible to users from different linguistic communities.

My research interests focus on the responsible and equitable development of AI in creative and educational domains. I study provenance by design and training. . . data attribution for generative AI systems in the arts, alongside the development of AI-powered educational tools to expand access to high-quality arts education for underserved rural and urban populations. I also explore AI-assisted music therapy applications that leverage real-time biofeedback and adaptive audio-visual systems. Keywords: Generative AI provenance; training data attribution; AI-powered arts education; educational equity; AI-assisted music therapy; biofeedback systems; adaptive audio-visual technology.

S. Shyam Sundar is James P. Jimirro Professor of Media Effects and founder of the Media Effects Research Laboratory in the Donald P. Bellisario College of. . . Communications. His research investigates social and psychological effects of interactive media, including mobile phones, social media, chatbots, robots, smart speakers and algorithms. His experiments investigate the role played by technological affordances in shaping user experience of mediated communications in a variety of interfaces. Current research pertains to fake news, chatbots and smart speakers, AI algorithms, online privacy, social media uses and effects, persuasive aspects of human-computer interaction (HCI), and the strategic use of communication technologies for motivating healthy and prosocial human behaviors.