The SUPERSAFE Act tells the Environmental Protection Agency to create a special team called the Supercomputing for Safer Chemicals Consortium. This team's job is to use advanced computer technology and artificial intelligence to find toxic chemicals that are currently used in everyday products and figure out safer alternatives to replace them.

Right now, identifying dangerous chemicals and developing safer substitutes is a slow, expensive process. This bill speeds things up by using supercomputers and machine learning—the same kind of technology that powers things like Netflix recommendations or medical imaging—to analyze chemicals much faster. The consortium will focus on chemicals used in consumer products (like household items) and industrial manufacturing, helping companies transition away from toxic substances.

An important part of this bill is transparency: all the computer models and research documentation the consortium creates must be made publicly available. This means companies, researchers, and regulators can all access the same information to make better decisions about which chemicals are safe and which ones need to be replaced. Essentially, this bill aims to modernize how we identify and eliminate toxic chemicals from the products we use every day.

SUPERSAFE Act

Padilla, Alex

Supercomputing for Safer Chemicals Act or the SUPERSAFE Act This bill requires the Environmental Protection Agency to form the Supercomputing for Safer Chemicals (SUPERSAFE) Consortium to, among other purposes, establish rapid approaches for the development of safer alternatives to toxic substances. Specifically, the consortium must use supercomputing, machine learning, and similar capabilities to (1) establish rapid approaches for large-scale identification of toxic substances and the development of safer alternatives to toxic substances; (2) address the need to identify safe chemicals for use in consumer and industrial products, including in the manufacturing process to support the move to safer alternatives; and (3) make recommendations on how the produced information can be applied in risk assessments in regulatory decisions. The consortium must make all models and documentation available to the public.