TRAILS director Hal Daumé III highlighted AI's transformative potential in a recent podcast, stressing that AI should enhance users' well-being and enable new capabilities. Listen here: go.umd.edu/3K4gbZJ

Katie Shilton, an expert in ethics and policy for the design of information technologies, was interviewed for a podcast series on how AI will change the way we live. She says accessibility design in AI has been sidelined for far too long. Listen here: go.umd.edu/3K4gbZJ

The University of Maryland Institute for Advanced Computer Studies is seeking a postdoctoral fellow in computational social science to collaborate with Cody Buntain (Cody Buntain | @[email protected]) on the role of visual media in online political engagement. Apply by May 30: umiacs.umd.edu/about-us/caree…

Furong Huang (Furong Huang), an expert in trustworthy machine learning, was interviewed for a podcast series on how AI will change the way we live. She discusses balancing ethics during this surge of AI, internet deepfakes, and more. Listen here: go.umd.edu/3QKWkCx

Furong Huang (Furong Huang) will be answering questions about AI and ML today from 2-4 p.m. ET reddit AMA.

Huang's research focuses on trustworthy machine learning, AI for sequential decision-making, and generative AI.

Submit your questions here: redd.it/1crpcaj

Thanks Toyota Research Institute (TRI) for supporting me to be at
#CHI2024 to present my former multidisciplinary work in collaboration with multiple departments Stanford University USC UMD Department of Computer Science Univ. of Delaware and colleagues across various other universities: programs.sigchi.org/chi/2024/progr…

Both Xiaoyu Liu (Ariel Liu) and Bang An (@bang_an_) proposed this week; 3 more (by Sicheng Zhu Sicheng Zhu , Yuancheng Xu Yuancheng Xu and Mucong Ding Mucong Ding) are coming after ICLR week.

On the special occasion of Hal Daumé III dressing up, we took this precious

Co-PI TRAILS Tom Goldstein (@tomgoldsteincs) & his team won Invention of the Year Univ. of Maryland for their tool that can identify LLM-generated text with high accuracy. He emphasized the importance of meticulous research for users to trust these systems: go.umd.edu/4dl0D10

TRAILS researchers Hernisa Kacorri, Chung Hyuk Park and Zoe Szajnfarber are designing a smart robotic pet to aid caregivers of autistic youth at home, aiming to bolster the existing support from the caregiver-therapist team. Learn more: go.umd.edu/3xQFTOp

#MarylandDay visitors were interested in the novel research & scholarship underway in Huaishu Peng's Small Artifacts Lab. Innovative projects include prototyping new touchscreens for the visually impaired & designing AI-driven robots that can traverse a dancer's body. #FearlesslyUMD

It was very nice to be able to meet and interact with the US House’s Bipartisan Task force in AI. Hope the conversation can lead to more reliable and trustworthy applications of AI

Thrilled to be invited to to meet and engage with the U.S. House’s Bipartisan Task Force on AI! Excited to dive into critical conversations about the future of artificial intelligence.

democraticleader.house.gov/media/press-re…

UMD researchers are building trust in AI for healthcare!

Their work combining human and computerized abilities to spot errors can help tackle potential dangerous sources of healthcare errors. today.umd.edu/reliable-er-tr…

What are the odds of having two amazing HCI researchers on the same day? Thanks to Pedro Lopes and Seongkook Heo for the fantastic back-to-back talks and for dropping by our labs! We were all awed by the day. Kudos to Jun Jun Nishida for organizing it all!

We’ve had a great time at #AERA24 talking about Trustworthy AI in education and the lives of youth. Keshiyena Pieters TRAILS

I really enjoyed giving the distinguished lecture at CASA - Cluster of Excellence for Cyber Security and meeting everyone at MPI Security and Privacy at RUB. I am especially grateful to my host Yixin Zou for organizing. After working with so many amazing folks at RUB, it was amazing to finally visit in person.

.Univ. of Maryland's Institute for Advanced Computer Studies (@umiacs) is expanding its data center by 50% to support the institute's growing research portfolio in areas like machine learning, artificial intelligence and computer vision. Learn more: go.umd.edu/3TSibIQ

✨ Can we detect style in the generated images? Our recent work takes a step towards understanding this question. We train a style-focused vision feature extractor built on top of CLIP, which we call a Contrastive Style Descriptior (CSD).

paper: arxiv.org/abs/2404.01292

Style

Our researchers focus on improving AI models that prioritize human well-being. Univ. of Maryland's Marine Carpuat and Ge Gao coauthored a study evaluating the effectiveness of English-to-Chinese machine translation systems used in emergency rooms. #DoGoodUMD trails.umd.edu/news/evaluatin…