News
College Students Struggle To Balance AI Use With Academic Integrity Policies Set By Universities
MSU’s Virginia Byrne told the University Herald that she encourages students to evaluate AI's strengths and weaknesses, promoting ethical practices and trust as colleges navigate the integration of AI into education and career readiness.
College Students ‘Cautiously Curious’ About AI
MSU’s Virginia Byrne studies the role of technology in education, with a focus on how it impacts college students. In an interview with the States Newsroom, Byrne provides insight on how colleges should be handling AI.
UMD Team Uses AI to Enhance Mnemonic Learning
UMD's Jordan Boyd-Graber is leading the development of an AI-driven mnemonic generator designed to simplify vocabulary learning.
UMIACS Team Aims to Boost High-Performance Computing Software Development Using AI
UMD’s Tom Goldstein is leading a $7 million DOE-funded project to enhance AI-assisted software development for high-performance computing, aiming to improve the effectiveness of large language models in parallel programming and boost developer productivity.
Leveraging Natural Language Processing to Guide Educators
UMD’s Jing Liu is using natural language processing to analyze K-12 math classroom transcripts and provide feedback to help teachers improve, finding that NLP is more effective when combined with human coaching.
Americans, Anxious About AI’s role in the Election, May Not Know its Full Scope, Expert Says
UMD's Cody Buntain revealed AI's “unseen” role in elections, from shaping social media feeds to fueling echo chambers and enabling targeted ads, in News From the States.
TRAILS Announces Second Round of Seed Funding
Five interdisciplinary projects, funded with seed grants ranging from $115K to $150K apiece, will advance novel AI research and scholarship that can impact education, transportation, emergency preparedness and health care.
TRAILS Faculty Launch New Study on Perception Bias and AI Systems
UMD’s Michelle Mazurek and GW’s Adam Aviv are conducting a series of studies to determine the level of bias that users expect from AI systems, and how AI providers explain to users that their systems may include biased data.
New Study’s Findings Can Help Communicators Correct Online Misinformation
GW's David Broniatowski led a study showing that clear and simple messaging is crucial in both spreading and combating online misinformation, emphasizing that accurate information presented concisely can effectively reduce the spread of falsehoods.
TRAILS AI Summer Academy Empowers Future AI Innovators
The two-week academy featured mentoring from UMD faculty, a field trip to an interactive museum focused on language, and group projects that covered hot topics like neural networks, machine learning and large language models (LLMs).
Novel Study Explores the Useability and Efficacy of AI Translations for Diverse Populations
UMD researchers are partnering with the Language Science Station at Planet Word to explore how people from different backgrounds rely on imperfect language translations generated by AI.
AI Could Become the ‘New Steel’ as Overcapacity Risk Goes Unnoticed
GW’s Susan Ariel Aaronson weighs in on the potential risks of excessive government investments in AI for Fortune magazine.
The Effects of Expanding Computer Science in High School
UMD’s Jing Liu co-authored a study demonstrating that expanding high-quality computer science courses in Maryland high schools significantly influenced students' college major choices towards computer science and improved their future earning potential.
AI Tool Predicts Whether Online Health Misinformation Will Cause Real-World Harm
Cornell University's Valerie Reyna co-authored a study unveiling a new AI-based technique, finding that certain language in Reddit misinformation predicted COVID vaccine hesitancy.
Furong Huang Part of New Federal Initiative to Advance AI
UMD’s Furong Huang is part of a new federal initiative that provides powerful computing resources to researchers focused on innovative research and scholarship involving AI.
TRAILS Researchers Discuss How AI Will Change the Way We Live
UMD’s Hal Daumé, Furong Huang and Katie Shilton were interviewed for a podcast series on how AI will impact education, work, culture and creativity.
UMD Researcher to Advance AI Using Powerful Federal Computing Resources
UMD’s Abhinav Shrivastava will have access to one of the world's fastest supercomputers to improve AI-based visual recognition models.
Katy Perry and Rihanna Didn’t Attend the Met Gala. But AI-Generated Images Still Fooled Fans.
GW’s David Broniatowski warns that deceptive AI-generated material poses significant risks to national and societal safety.
Goldstein Leads Team to Invention of the Year Honors
UMD’s Tom Goldstein led a team that developed a technology, called Binoculars, which can detect text generated by large language models at an almost 90% success rate.
How To Improve Post-Editing Capabilities of Large Language Models
UMD’s Marine Carpuat has shown that using external quality feedback boosts the machine translation post-editing skills of large language models.