; (B) advanced computer chips and hardware designed for artificial intelligence systems; (C) data management and techniques to increase the usability of data, including strategies to systematically clean, label, and standardize data into forms useful for training artificial intelligence systems and the use of common, open licenses; (D) safety and robustness of artificial intelligence systems, including assurance, verification, validation, security, control, and the ability for artificial intelligence systems to withstand unexpected inputs and adversarial attacks; (E) auditing mechanisms and benchmarks for accuracy, transparency, verifiability, and safety assurance for artificial intelligence systems; (F) applications of machine learning and artificial intelligence systems to improve other scientific fields and engineering; and (G) all other areas deemed by the Director to be critical to the development and deployment of trustworthy artificial intelligence; (2) produce curated, standardized, representative, secure, and privacy protected data sets for artificial intelligence research, development, and use, prioritizing data for high-value, high-risk research; (3) support one or more institutes as described in section 201(a) of this Act for the purpose of advancing the field of artificial intelligence; (4) support and strategically engage in the development of voluntary consensus standards, including international standards, through open, transparent, and consensus-based processes