Committee Pages - V&V 70 Verification and Validation of Machine Learning

V&V 70 VERIFICATION AND VALIDATION OF MACHINE LEARNING

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Coordinate, promote, and foster the development of standards that provide procedures for assessing and quantifying the credibility of machine learning algorithms applied to mechanistic and process modeling.

CHAIR	Katherine E. Lewis
STAFF SECRETARY	Kathryn Hyam, PE
STAFF SECRETARY	Daniel Papert

Kathryn Hyam, PE

The American Society of Mechanical Engineers

Two Park Avenue

New York, NY 10016

Phone: 1(212)591-8704

hyamk@asme.org

Daniel Papert

The American Society of Mechanical Engineers

Two Park Avenue

New York, NY 10016

Phone: 1(212)591-7526

papertd@asme.org

Additional Committees
V&V 10 Verification and Validation in Computational Solid Mechanics
V&V 20 Verification and Validation in Computational Fluid Dynamics and Heat Transfer
V&V 30 Verification and Validation in Computational Simulation of Nuclear System Thermal Fluids Behavior
V&V 40 Verification and Validation in Computational Modeling of Medical Devices
V&V 50 Verification and Validation of Computational Modeling for Advanced Manufacturing
V&V 60 Verification and Validation of Computational Modeling in Energy Systems
V&V Verification and Validation in Computational Modeling and Simulation

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