BEGIN:VCALENDAR
VERSION:2.0
PRODID:Linklings LLC
BEGIN:VTIMEZONE
TZID:Europe/Stockholm
X-LIC-LOCATION:Europe/Stockholm
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:19700308T020000
RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=-1SU
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:19701101T020000
RRULE:FREQ=YEARLY;BYMONTH=10;BYDAY=-1SU
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20260421T090513Z
LOCATION:Bldg. 6 - Room 104
DTSTART;TZID=Europe/Stockholm:20260630T134500
DTEND;TZID=Europe/Stockholm:20260630T154500
UID:submissions.pasc-conference.org_PASC26_sess146@linklings.com
SUMMARY:MS3F - Responsible AI Systems at Scale for Life Sciences and Socie
 ty
DESCRIPTION:This Chair’s minisymposium comprised of independent yet compli
 mentary submissions brings together three perspectives on Responsible AI s
 ystems at scale: systems that are scientifically rigorous and societally t
 rustworthy. The first speaker sets the stage by introducing how decisions 
 are influenced by model predictions and how researchers use deep learning 
 combined with Explainable Artificial Intelligence (XAI) techniques to enab
 le transparent, realtime interpretability at scale with HPC. The second sp
 eaker sets addresses challenges in AI system design and evaluation, highli
 ghting how benchmarking practices utilizing narrowly defined datasets may 
 lead to misleading performance metrics, while also failing to make useful 
 generalizations necessary for advancement in discovery science. The third 
 speaker shares a European AI Factory for life sciences that at its core in
 corporates an AI-optimized supercomputing node, federated dataspace, and a
  trusted AI model validation sandbox. Finally, a moderated panel discussio
 n will encourage further reflection on the challenges associated with desi
 gning, developing, and evaluating the efficacy of Responsible AI systems a
 t scale.\n\n1HealthAI, an AI Factory Oriented to Support Data Processing f
 or the Global Health\n\n1HealthAI (European One-Health AI Factory) is an S
 panish specialized AI Factory dedicated to the One Health domain (integrat
 ing human, animal, and environmental health). Hosted by the Galicia Superc
 omputing Center (CESGA) and co-led by the Spanish National Research Counci
 l (CSIC), the consortium inc...\n\n\nIsabel Campos (IFCA/CSIC)\n----------
 -----------\nBuilding Trust in AI-Driven Systems: Scalable and Explainable
  Deep Learning Frameworks for Health and Agriculture on HPC\n\nTransparenc
 y and interpretability are essential for deploying AI systems in domains w
 here decisions affect health, safety, and food security. This talk present
 s an integrated approach to building trustworthy AI models for image-based
  classification by combining deep learning with Explainable Artific...\n\n
 \nNatasha Nigar (UET, Lahore)\n---------------------\nResponsible AI Syste
 ms at Scale Panel Discussion\n\ntbd\n\n\nElaine Raybourn (University of Ce
 ntral Florida)\n---------------------\nBeyond Benchmark Performance: Trust
 worthy AI, Generalization, and Translational Impact in Scientific Computin
 g\n\nArtificial intelligence (AI) and machine learning are increasingly us
 ed within high-performance computing workflows to accelerate scientific di
 scovery, particularly in data-intensive domains such as drug discovery. Ho
 wever, strong benchmark performance does not guarantee scientific or trans
 lational ...\n\n\nSally Ellingson (University of Kentucky)\n\nDomain: Life
  Sciences, Computational Methods and Applied Mathematics\n\nSession Chair:
  Elaine M. Raybourn (University of Central Florida)
END:VEVENT
END:VCALENDAR