HAI at Five: Celebrating 5 years of Impact
HAI at Five Virtual Poster Session
This poster session showcased the work of the HAI community over the last five years, highlighting the research and projects that HAI has been involved with or supported in some capacity. Click below to view the PDF versions of the posters that were featured during the conference.
What’s in a Name? Auditing Large Language Models for Race and Gender Bias
Alejandro Salinas, Amit Haim, Julian Nyarko
Humanizing AI for Collaborative Learning
John Mitchell, Jenny Osuna, Glenn Fajardo, Miroslav Suzara, Sierra Wang, Yemariam Mamo, Glenn Kleiman, Ben Klieger
Developing Language Models for Power-Affirming Writing Feedback
Mei Tan, Chris Mah, Alexa Sparks, Deepak Varuvel Dennison, Dorottya Demszky
Foundation Models: Technical Advances, Social Responsibility, Applications
PIs: Percy Liang, Russ Altman Jeannete Bohg, Akshay Chauhari, Chelsea Finn, Tatsunori Hashimoto, Daniel Ho, Fei-Fei Li, Chris Manning, Tengyu Ma, Chris Ré, Rob Reich, Dorsa Sadigh, Matei Zaharia
Five Projects Using Social Media as an Early Warning System for the Opioid Epidemic
Kristy A. Carpenter, Delaney A. Smith, Anna T. Nguyen, Shashanka Subrahmanya, Aadesh Salecha, Salvatore Giorgi, Issah A. Samori, Mathew V. Kiang, Keith Humphreys, Anna Lembke, Johannes C. Eichstaedt, Russ B. Altman
Harnessing the Potential of LLMs in STEM Education
Karen D. Wang, Lora Kaldaras, Shima Salehi, Carl Wieman
Aligning Social Media Feed Rankings with Users’ Values
Farnaz Jahanbakhsh, Dora Zhao, Tiziano Piccardi, Ziv Epstein, Zachary Robertson, Sanmi Koyejo, Michael S. Bernstein
Learning2: Machine Learning to Improve Human Learning
Allen Nie, Emma Brunskill (w/many additional collaborators)
Force-based Robot Learning from Demonstration for Soft Tissue Manipulation
Alaa Eldin Abdelaal, Jiaying Fang, Tim N. Reinhart, Jacob A. Mejia, Tony Z. Zhao, Chelsea Finn, Jeannette Bohg, and Allison M. Okamura
DSPy: Programming – not prompting – foundation models
Omar Khattab, Matei Zaharia, Christopher Potts, and many others
Self-Service Data Science in the EHR with Multimodal Patient Embeddings
Jason A. Fries, Keith Morse, Ethan Steinberg, Michael Wornow, Rahul Thapa, Zepeng Huo, Shih-Cheng Huang, Lawrence Guo, Lillian Sung, Nigam H. Shah
Computer Vision Diagnostics for Facial Palsy
Ali Mottaghi, Katherine Guo, Sierra Willens, Aya Aziz4, Ariana Kalili, Mia Muoneke, Serena Yeung, and Jon-Paul Pepper
Human Centered Natural Language Processing for Positive Impact
Omar Shaikh, Diyi Yang
Evaluating AI Performance in Pediatric Lymphoma Detection on FDG PET/MRI
Shashi B. Singh, MBBS1, Hongzhi Wang, PhD2, Iryna Vasyliv, MD1, Vanessa Ricarda Sophie von Kruechten, MD1, Hyun Gi Kim, MD1, Lucia Baratto, MD1, Joy Tzung- Yu Wu, MBChB1,2, Amir Hossein Sarrami, MD1, Lisa Christine Adams, MD1, Tie Liang, PhD1, Tanveer Syeda-Mahmood, PhD2, Heike E. Daldrup-Link, MD, PhD
Demo of VisionFT: A Multimodal Tactile Sensor for Manipulation
Mark Cutkesky, Julia Di, Hojung Choi, Seongheon Hong
Cartography of Genomic Interactions Enables Deep Analysis of Single-Cell Expression Data
Md Tauhidul Islam and Lei Xing
Almanac: Retrieval-Augmented Language Models for Clinical Medicine
Cyril Zakka, Rohan Shad, Curt Langlotz, Euan Ashley, William Hiesinger, and 17 others
In Vitro to In Vivo Translation of AI for Clinical Use: Screening for Acute Coronary Syndrome to Identify STEMI
Gabrielle Bunney MD MBAa, Kate Miller PhD MPHb, Anna Graber-Naidich MSc PhDb, Rana Kabeer MD MPHa, Sean M. Bloos MPHc, Alexander J. Wessels BSd, Melissa A. Pasao BSa, Marium Rizvi BSa, Ian P. Brown MD MSa, Maame Yaa A. B. Yiadom MD MPH MSCIa
Harnessing Mixed-Scale Datasets to Illuminate Hidden Labor Abuses: The Case of Child Labor in Ghana
Antonio Torres Skillicorn, Prof. Dan Iancu, PhD, & Prof. Sarah Billington
Demystifying the Risk of Reidentification in Neuroimaging Data - A Technical and Regulatory Analysis
Anita S. Jwa, Oluwasanmi Koyejo, & Russell A. Poldrack
