; and (B) is designed to operate with varying levels of adaptability and autonomy using machine and human-based inputs. . 102. Online content authenticity and provenance standards research and development (a) Research (1) In general Not later than 180 days after the date of the enactment of this Act, the Under Secretary of Commerce for Standards and Technology shall carry out research to facilitate the development and standardization of means to provide authenticity and provenance information for content generated by human authors and artificial intelligence systems. (2) Elements The research carried out pursuant to paragraph (1) shall cover the following: (A) Secure and binding methods for human authors of content to append statements of provenance through the use of unique credentials, watermarking, or other data or metadata-based approaches. (B) Methods for the verification of statements of content provenance to ensure authenticity such as watermarking or classifiers, which are trained models that distinguish artificial intelligence-generated media. (C) Methods for displaying clear and conspicuous statements of content provenance to the end user. (D) Technologies or applications needed to facilitate the creation and verification of content provenance information. (E) Mechanisms to ensure that any technologies and methods developed under this section are minimally burdensome on content producers. (F) Such other related processes, technologies, or applications as the Under Secretary considers appropriate. (G) Use of provenance technology to enable attribution for content creators. (3) Implementation The Under Secretary shall carry out the research required by paragraph (1) as part of the research directives pursuant to section 22A(b)(1) of the National Institute of Standards and Technology Act ( 15 U.S.C. 278h–1(b)(1) ). (b) Development of standards (1) In general For methodologies and applications related to content provenance and authenticity deemed by the Under Secretary to be at a readiness level sufficient