Quiero saber acerca de...

40810

Federal Register / Vol. 86, No. 143 / Thursday, July 29, 2021 / Notices
not participating in this review, the cash deposit will continue to be the company-specific rate published for the most recently completed segment of this proceeding; 3 if the exporter is not a firm covered in this review, or the original less-than-fair-value LTFV
investigation, but the manufacturer is, then the cash deposit rate will be the rate established for the most recent segment for the manufacturer of the merchandise; and 4 the cash deposit rate for all other manufacturers or exporters will continue to be 20.33
percent,15 the all-others rate established in the LTFV investigation. These deposit requirements, when imposed, shall remain in effect until further notice.

II. Background III. Scope of the Order IV. Changes Since the Preliminary Results V. Rate for Non-Examined Company VI. Discussion of the Issues Comment 1A: Lawfulness of Commerces Interpretation of the Particular Market Situation PMS Provision Comment 1B: Evidence of a PMS
Comment 1C: Quantification of PMS
Adjustment Comment 2: Constructed Export Price CEP Offset for POSCO
Comment 3: Correction of Calculation Errors Comment 4: Whether Hyundais Cost Accounting Merits Adverse Facts Available AFA
Comment 5: Assignment of an Assessment Rate to a Certain U.S. Affiliate VII. Recommendation
Notification to Importers This notice serves as a final reminder to importers of their responsibility under 19 CFR 351.402f2 to file a certificate regarding the reimbursement of antidumping duties prior to liquidation of the relevant entries during this POR. Failure to comply with this requirement could result in Commerces presumption that reimbursement of antidumping duties occurred and the subsequent assessment of double antidumping duties.

FR Doc. 202116172 Filed 72821; 8:45 am
Notification Regarding Administrative Protective Order This notice serves as the only reminder to parties subject to administrative protective order APO of their responsibility concerning the disposition of proprietary information disclosed under APO in accordance with 19 CFR 351.305a3, which continues to govern business proprietary information in this segment of the proceeding. Timely written notification of the return or destruction of APO materials or conversion to judicial protective order is hereby requested. Failure to comply with the regulations and the terms of an APO is a sanctionable violation.
Notification to Interested Parties Commerce is issuing and publishing this notice in accordance with sections 751a1 and 777i1 of the Act, and 19
CFR 351.221b4.

jbell on DSKJLSW7X2PROD with NOTICES

Dated: July 23, 2021.
Christian Marsh, Acting Assistant Secretary for Enforcement and Compliance.

Appendix List of Topics Discussed in the Issues and Decision Memorandum I. Summary 15 See
Order.

VerDate Sep<11>2014

19:19 Jul 28, 2021

Jkt 253001

BILLING CODE 3510DSP

DEPARTMENT OF COMMERCE
National Institute of Standards and Technology Docket Number: 2107260151

Artificial Intelligence Risk Management Framework National Institute of Standards and Technology, Department of Commerce.
ACTION: Request for information.
AGENCY:

The National Institute of Standards and Technology NIST is developing a framework that can be used to improve the management of risks to individuals, organizations, and society associated with artificial intelligence AI. The NIST Artificial Intelligence Risk Management Framework AI RMF or Framework is intended for voluntary use and to improve the ability to incorporate trustworthiness considerations into the design, development, and use, and evaluation of AI products, services, and systems. This notice requests information to help inform, refine, and guide the development of the AI RMF.
The Framework will be developed through a consensus-driven, open, and collaborative process that will include public workshops and other opportunities for stakeholders to provide input.
DATES: Comments in response to this notice must be received by 5:00 p.m.
Eastern time on August 19, 2021.
Written comments in response to the RFI should be submitted according to the instructions in the ADDRESSES and SUPPLEMENTARY INFORMATION sections below. Submissions received after that date may not be considered.
SUMMARY:

PO 00000

Frm 00009

Fmt 4703

Sfmt 4703

Comments may be submitted by any of the following methods:
Electronic submission: Submit electronic public comments via the Federal e-Rulemaking Portal.
1. Go to www.regulations.gov and enter NIST20210004 in the search field, 2. Click the Comment Now! icon, complete the required fields, and 3. Enter or attach your comments.
Email: Comments in electronic form may also be sent to AIframework@
nist.gov in any of the following formats:
HTML; ASCII; Word; RTF; or PDF.
Please submit comments only and include your name, organizations name if any, and cite AI Risk Management Framework in all correspondence.
FOR FURTHER INFORMATION CONTACT: For questions about this RFI contact: Mark Przybocki mark.przybocki@nist.gov, U.S. National Institute of Standards and Technology, MS 20899, 100 Bureau Drive, Gaithersburg, MD 20899, telephone 301 9753347, email AIframework@nist.gov.
Direct media inquiries to NISTs Office of Public Affairs at 301 975
2762. Users of telecommunication devices for the deaf, or a text telephone, may call the Federal Relay Service, toll free at 18008778339.
Accessible Format: On request to the contact person listed above, NIST will make the RFI available in alternate formats, such as Braille or large print, upon request by persons with disabilities.
ADDRESSES:

SUPPLEMENTARY INFORMATION:

Genesis for Development of the AI Risk Management Framework Artificial intelligence AI is rapidly transforming our world.
Surges in AI capabilities have led to a wide range of innovations. These new AI-enabled systems are benefitting many parts of society and economy from commerce and healthcare to transportation and cybersecurity. At the same time, new AI-based technologies, products, and services bring technical and societal challenges and risks, including ensuring that AI comports with ethical values. While there is no objective standard for ethical values, as they are grounded in the norms and legal expectations of specific societies or cultures, it is widely agreed that AI
must be designed, developed, used, and evaluated in a trustworthy and responsible manner to foster public confidence and trust. Trust is established by ensuring that AI systems are cognizant of and are built to align with core values in society, and in ways
E:FRFM29JYN1.SGM

29JYN1