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DTSTAMP:20260421T090513Z
LOCATION:Bldg. 6 - Room 104
DTSTART;TZID=Europe/Stockholm:20260629T160000
DTEND;TZID=Europe/Stockholm:20260629T163000
UID:submissions.pasc-conference.org_PASC26_sess125_msa178@linklings.com
SUMMARY:AI Safety Practices for Responsible Computing in HPC
DESCRIPTION:Elaine M. Raybourn (University of Central Florida)\n\nInternat
 ional communities spanning government, industry, academia, and nonprofits 
 are eager to adopt AI systems. Technology Readiness Levels (TRLs), long us
 ed to assess technical maturity, are also sociotechnical indicators that s
 hape human confidence in emerging capabilities. This presentation reviews 
 AI readiness approaches and examines how AI safety may support better unde
 rstanding of ones’ own expectations of trust, as well as provide a framewo
 rk for evaluating system trustworthiness. This presentation raises critica
 l questions about how TRLs contribute to—or fall short of—establishing con
 fidence in AI systems. We explore how TRLs can serve not only as benchmark
 s of technical progress but also as tools for early detection of risk, tra
 nsparency gaps, and system resilience. Finally, by integrating TRLs into t
 rust-building frameworks alongside rigorous testing, validation, and stake
 holder engagement, organizations may enable safe and responsible adoption 
 of AI systems.\n\nDomain: Chemistry and Materials, Climate, Weather, and E
 arth Sciences, Applied Social Sciences and Humanities\n\nSession Chairs: J
 akob Luettgau (INRIA); Nico Formánek (HLRS); and Jay Lofstead (Sandia Nati
 onal Laboratories, University of New Mexico)\n\n
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