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DTSTART;TZID=America/New_York:20260120T150000
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UID:7224-1768921200-1768924800@bridge2ai.org
SUMMARY:Bridge2AI Discussion Forum on Emerging ELSI Issues: “Trust Starts Upstream: Recommendations for Creating Ethically Sourced Health Data Repositories for AI/ML"
DESCRIPTION:Please join us on Tuesday\, January 20th\, 2026 at 12pm-1pm PST/3pm-4pm EST for the discussion forum: “Trust Starts Upstream: Recommendations for creating ethically sourced health data repositories for AI/ML\,” by Dr. Camille Nebeker. \n\n\n\n\nCreating ethically sourced and trustworthy health data repositories is critical for building trustworthy biomedical and behavioral research infrastructure\, especially when such repositories underpin machine learning and AI systems. In Ethical sourcing in the context of health data supply chain management: a value sensitive design approach (Nebeker et al.\, 2025)\, we integrate value sensitive design (VSD) with concepts from supply chain management to operationalize ethical values across the stages of developing health data repositories. The resulting framework identifies key actors\, values (e.g.\, traceability\, security\, equity)\, and tensions that arise during repository creation and highlights practices such as documenting data provenance\, articulating expectations for data stewards\, and implementing comprehensive privacy and bias mitigation strategies. \nDuring this session\, Dr. Nebeker will provide an overview of this framework with a focus on developing a companion checklist that is grounded in VSD and supply chain scaffolding and can be used as actionable guidance in dataset creation. \n\n\n\n\nBio: \nDr. Camille Nebeker is a professor of public health with appointments in the UC San Diego Design Lab and the Herbert Wertheim School of Public Health and Human Longevity Science. In 2018\, Dr. Nebeker co-founded the ReCODE Health center\, which is dedicated to conducting cutting edge research to inform ethical practices in digital/AI health research – including machine learning and the use of large language models. The ReCODE Health center supports education and consultation services to guide ethical practices in technology-supported health research across diverse research sectors including traditional academic research and\, increasingly\, the health technology sector. She’s a principal investigator with the Bridge2AI Bridge Center’s Ethical\, Legal and Social Implications Core.
URL:https://bridge2ai.org/event/bridge2ai-discussion-forum-on-emerging-elsi-issues-trust-starts-upstream-recommendations-for-creating-ethically-sourced-health-data-repositories-for-ai-ml/
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DTSTART;TZID=America/New_York:20260129T150000
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DTSTAMP:20260410T080623
CREATED:20260120T200859Z
LAST-MODIFIED:20260120T202421Z
UID:7284-1769698800-1769702400@bridge2ai.org
SUMMARY:TRM Novel AI Technology Module Lecture: "Beyond LLMs: Neuro-Symbolic Approaches for Language Understanding in the Biomedical Domain" by Dr. Mihai Surdeanu
DESCRIPTION:“Join us on Thursday\, January 29\, 2026\, at 12:00 PM PT/3:00 PM ET for the lecture: “Beyond LLMs: Neuro-Symbolic Approaches for Language Understanding in the Biomedical Domain” by Dr. Mihai Surdeanu. This lecture is part of the Bridge2AI Training\, Recruitment\, and Mentoring (TRM) 2025-26 Lecture Series Novel AI Technology Module. \nLecture Learning Objectives: \n\nUnderstand the advantages and disadvantages of neural (in particular LLM) architectures vs. neuro-symbolic approaches in the biomedical space.\nLearn how to build symbolic and neuro-symbolic natural language processing systems that are faithful\, pliable\, and fast.\n\nBiography: \nDr. Mihai Surdeanu is a Professor of Computer Science in the College of Science at the University of Arizona\, with joint appointments in Linguistics and Cognitive Science. His research focuses on natural language processing\, including question answering\, information extraction\, and building systems that derive meaning from unstructured text\, with a strong emphasis on interpretable models that can explain their decisions. \nDr. Surdeanu has received the ACL Outstanding Area Chair Award (2023) and the Distinguished Scholar Award from the University of Arizona’s Department of Computer Science (2023). He is an active contributor to the NLP community\, serving as an Action Editor for Transactions of the Association for Computational Linguistics (TACL) since 2019 and as Senior Area Chair for ACL (2023\, 2025) and EMNLP (2022). He has held Area Chair roles for EMNLP\, NAACL\, and COLING–LREC across multiple years. Dr. Surdeanu has also served on program committees for ACL and EMNLP for a long time\, in addition to contributing to COLM\, COLING\, as well as Graph-Based NLP and Pan-DL workshops.” \nIntroduction Slides
URL:https://bridge2ai.org/event/trm-novel-ai-technology-module-lecture-beyond-llms-neuro-symbolic-approaches-for-language-understanding-in-the-biomedical-domain-by-dr-mihai-surdeanu/
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