News
AI Hiring Tools May Favor Their Own Work, UMD Study Finds
New research by UMD’s Jiannan Xu highlights emerging bias in AI-to-AI interactions—and practical fixes.
Team HAX Lab Wins National AI Innovation Challenge
Guided by Morgan State’s Naja Mack, the team earned top honors for a privacy-focused AI application designed to support communication and social well-being.
Can AI and People Play Nice?
UMD’s Jordan Boyd-Graber is uncovering what makes human-AI partnerships succeed through high-stakes quizbowl competitions, finding that trust may matter more than intelligence.
UMD Team Develops Precise “Undo Button” for AI Memory
UMD’s Soheil Feizi helped develop a new method removes problematic information from large language models without damaging their reasoning abilities.
The Role of Language in AI Research
UMD’s Marine Carpuat explains how multilingual AI systems can facilitate cross-language communication.
When the Feed Becomes the Front Line
UMD’s Cody Buntain is developing AI tools to analyze social media imagery from global conflicts, helping analysts establish ground truth while investigating the reliability of human-AI decision-making.
Rethinking the “Charisma Trap” in Human-AI Interaction
UMD’s Michelle Mazurek and GW’s Adam Aviv found that a chatbot’s polite demeanor creates a “charisma trap” that masks subtle biases and safety risks.
UMD Framework Used to Test Safety of Meta’s New Multimodal AI Model
UMD’s Furong Huang is co-leading efforts involving AI safety testing under simulated operational pressure.
How Generative AI Works—and Why It Can Mislead Users
GW’s David Broniatowski explains the pattern-based systems behind tools like ChatGPT, and the risks that come with them.
TRAILS Researchers Advance Robotics to Perform Complex Household Tasks
UMD’s Furong Huang and Tom Goldstein are advancing breakthroughs in trustworthy machine learning to create robotic systems that will excel in dynamic home environments.
A Building Code for Digital Infrastructures
GW’s David Broniatowski explains how the same infrastructural concern with AI keeps surfacing: a few companies shape how billions see information, speak, and organize.
AI-Enabled Manufacturing Will Change How, When and Where Goods Are Made
GW’s Susan Ariel Aaaronson explains how AI-enabled manufacturing is reshaping global production dynamics and risks, driving a new era of overcapacity.
AI’s Growing Energy Demands Raise Concerns About Infrastructure and Control
GW’s David Broniatowski is examining how AI systems interact not only with each other, but also with critical infrastructure and governance systems.
TRAILS Announces 11 Broader Impact Awards to Cultivate Next Generation of Trustworthy AI Leaders
New funding supports seed projects that incentivize a wide range of stakeholders to engage with and influence the future of AI.
Developing a Better Understanding of Global Participation in AI
UMD’s Maria Isabel Magaña talks about socio-cultural influences in AI development and governance.
What is Participatory Design in AI?
UMD’s Katie Shilton is leading research on participatory design to build trustworthy AI systems.
Improving AI-Human Interaction
UMD’s Jordan Boyd-Graber discusses how AI and humans can collaborate, highlighting ways AI could enhance—not replace—human abilities.
Helping Early-Career Researchers Navigate NSF Cybersecurity Funding
GW's Adam Aviv and UMD's Michelle Mazurek helped organize a workshop focused on developing competitive NSF proposals.
Study: Future AI Needs Stronger Safeguards
UMD’s Furong Huang co-led a study finding that today’s AI “guardrails” may fail to stop harmful behavior in more powerful future systems.
Huang Awarded Open Philanthropy Grant to Study Evasive AI Behavior
UMD’s Furong Huang will use the funding to create AI safeguards that distinguish between models that merely perform safe behavior and those that genuinely adhere to safety rules.