CPSC Artificial Intelligence Forum, 77183-77184 [2020-26441]

Download as PDF Federal Register / Vol. 85, No. 231 / Tuesday, December 1, 2020 / Notices requirements for the CDQ Program are at 50 CFR 679.33. For most CDQ groundfish species, NMFS annually summarizes volume and value information for landings of all fishery species subject to cost recovery in order to estimate a standard price for each fishery species. The volume and value information is obtained from the First Wholesale Volume and Value Report and the Pacific Cod Ex-Vessel Volume and Value Report. For CDQ halibut and fixed-gear sablefish, NMFS calculates the standard prices using information from the Individual Fishing Quota (IFQ) Ex-Vessel Volume and Value Report, which collects information on both IFQ and CDQ volume and value. Using the fee percentage formula described above, the estimated percentage of direct program costs to fishery value for the 2020 calendar year is 0.84 percent for the CDQ groundfish and halibut programs. For 2020, NMFS applied the calculated CDQ fee percentage to all CDQ groundfish and halibut landings made between January 1 and December 31 to calculate the CDQ fee liability for each CDQ group. The 2020 fee payments must be submitted to NMFS on or before December 31, 2020. Payment must be made in accordance with the payment methods set forth in 50 CFR 679.33(a)(3)(iv). (Authority: 16 U.S.C. 1801 et seq.) Dated: November 24, 2020. Jennifer M. Wallace, Acting Director, Office of Sustainable Fisheries, National Marine Fisheries Service. [FR Doc. 2020–26432 Filed 11–30–20; 8:45 am] BILLING CODE 3510–22–P CONSUMER PRODUCT SAFETY COMMISSION CPSC Artificial Intelligence Forum Consumer Product Safety Commission. ACTION: Announcement of forum. AGENCY: Consumer Product Safety Commission (CPSC) staff is holding a forum on artificial intelligence (AI), and related technologies, such as Machine Learning (ML). CPSC staff invites interested parties to attend or participate in the AI forum via webinar. DATES: The AI forum will take place from 9 a.m. to 4 p.m., Eastern Standard Time (EST) on Tuesday, March 2, 2021, via webinar. All attendees should preregister for the webinar. Individuals interested in serving on panels or presenting information at the forum should register by January 15, 2020. All khammond on DSKJM1Z7X2PROD with NOTICES4 SUMMARY: VerDate Sep<11>2014 18:11 Nov 30, 2020 Jkt 253001 other individuals who wish to attend the forum should register by February 15, 2021. ADDRESSES: The forum will be held via webinar. Attendance is free of charge. Persons interested in attending the forum should register online at: https:// attendee.gotowebinar.com/register/ 4723099942466621456 and fill in the information. After registering, you will receive a confirmation email containing information about joining the webinar. Persons interested in serving on a panel or presenting information should email ntaylor@cpsc.gov an abstract by January 4, 2021. Detailed instructions for the webinar participants and other interested parties will be made available on the CPSC website on the public calendar: https://cpsc.gov/newsroom/ public-calendar. FOR FURTHER INFORMATION CONTACT: Nevin Taylor, Chief Technologist, 4330 East West Highway, Bethesda, MD 20814; telephone: 301–509–0264; email: ntaylor@cpsc.gov. SUPPLEMENTARY INFORMATION: CPSC staff is hosting an AI forum to collect information on the voluntary consensus standards, certification, and product specification efforts associated with products using AI, ML, and related technologies. The information collected from the forum will assist staff in making recommendations for improving the safety of consumer products that include this technology. I. Background For this Forum, we are generally defining ‘‘Artificial intelligence’’ (AI) as any method for programming computers or products to enable them to carry out tasks or behaviors that would require intelligence if performed by humans.1 ‘‘Machine learning’’ (ML) is typically understood to be an iterative process of applying models or algorithms to data sets to learn and detect patterns and/or perform tasks, such as prediction or decision making that can approximate some aspects of intelligence.2 A. Potential Uses of AI ML in Consumer Products To Improve Product Safety CPSC staff is aware of consumer products with claims of AI inclusion. Children’s toys, residential appliances, and recreational products are being marketed touting the use of AI, ML, and related technologies to improve product efficacy and consumer experience. 1 https://www.nap.edu/catalog/25021/thefrontiers-of-machine-learning-2017-raymond-andbeverly-sackler. 2 Ian Goodfellow Yoshua Bengio Aaron Courville, Deep Learning (Adaptive Computation and Machine Learning series), (MIT Press, 2016), 1. PO 00000 Frm 00045 Fmt 4703 Sfmt 4703 77183 Although opportunities exist for manufacturers to improve safety using new technologies, hazards may also be associated with the inclusion of these technologies. B. AI, ML, and Related Technologies AI, ML, and related technologies have the potential to dramatically change the nature of consumer products, with important ramifications for CPSC’s responsibilities to protect consumers from product hazards. In particular, products with AI or ML technologies would be learning from the consumer and from the operational environment for the product. Customization occurs through the evolution of products after delivery to the consumer, resulting in significant ramifications for manufacturer’s implementation of AI and ML that shape products and transform consumer experience. Although adapting to consumer preferences has the potential to make significant strides in product customization of features and safety enhancements, using data to predict and enhance product operation could result in safety hazards. C. Ramifications of AI and ML in Consumer Products Manufacturers may not fully understand the operation of the AIenabled products, particularly for those using genetic algorithms and other evolutionary AI techniques. Changes to the product after purchase may impede CPSC’s ability to replicate reported hazards, creating challenges for compliance investigations and product safety standards development. D. Relevant Voluntary Standards Voluntary standards organizations are developing consensus standards related to AI and ML technologies that will likely inform and improve safety-related characteristics in consumer products. AI and ML standards in the automotive, aerospace, and defense industries are ongoing, and knowledge from these efforts may be valuable in consumer product safety standards development. II Forum Topics The AI forum will discuss existing and proposed voluntary consensus standards, certifications, testing methods, product specifications, best practices, and similar guidance for AI, ML, and related technologies. There is currently considerable interest in exploring a variety of areas of AI and ML, including ethics, security, and privacy. However, given the CPSC mission, this forum is focused on obtaining information specific to E:\FR\FM\01DEN1.SGM 01DEN1 77184 Federal Register / Vol. 85, No. 231 / Tuesday, December 1, 2020 / Notices assisting the agency’s safety efforts with consumer products that use these technologies. CPSC staff is interested in discussing the best way to provide guidance to manufacturers and importers of consumer products with AI and ML, to test products for safety that address the following considerations: • Identification: Æ Determine presence of AI and ML in consumer products. D Does the product have AI and ML components? • Implications: Æ Differentiate what AI and ML functionality exists. D What are the AI and ML capabilities? • Impact: Æ Discern how AI and ML dependencies affect consumers. D Do AI and ML affect consumer product safety? • Iteration: Æ Distinguish when AI and ML, evolve and how this transformation changes outcomes. D When do products evolve/transform, and do the evolutions/transformations affect product safety? III. Forum Details and interests. Staff will notify those who are selected to make a presentation or participate in a panel by January 15, 2021, so that you can prepare and provide your final presentation by February 12, 2021. Although staff will make an effort to accommodate all persons who wish to make a presentation, the time allotted for presentations will depend on the agenda and the number of persons who wish to speak on a given topic. Staff recommends that individuals and organizations with common interests consolidate or coordinate their presentations, and request time for a joint presentation. If you have any questions regarding participating in the forum, contact Nevin Taylor, ntaylor@ cpsc.gov, 301–509–0264. Alberta E. Mills, Secretary, U.S. Consumer Product Safety Commission. [FR Doc. 2020–26441 Filed 11–30–20; 8:45 am] BILLING CODE 6355–01–P DEPARTMENT OF DEFENSE Office of the Secretary [Docket ID: DoD–2020–OS–0069] A. Forum Time and Place CPSC staff will hold the forum from 9 a.m. to 4 p.m., EST on Tuesday, March 2, 2021, via webinar. khammond on DSKJM1Z7X2PROD with NOTICES4 B. Forum Registration If you would like to attend the AI Forum, but you do not wish to make a presentation or participate on a panel, please register online by February 15, 2021. (See the ADDRESSES portion of this document for the website link and instructions to register.) If you would like to make a presentation at the AI Forum, or you wish to be considered as a panel member for a specific topic or topics, email an electronic version of your abstract to Nevin Taylor, ntaylor@ cpsc.gov, by January 4, 2021. Abstracts should be relevant to the forum topic and no longer than two pages. Staff will select panelists and individuals to make presentations at the AI forum based on considerations such as: The submitted abstract information, the individual’s demonstrated familiarity or expertise with the topic to be discussed, the practical utility of the information to be presented, and the individual’s viewpoint or ability to represent certain interests (such as large manufacturers, small manufacturers, consumer advocates, and consumers). Staff would like the presentations to represent and address a wide variety of stakeholders VerDate Sep<11>2014 18:11 Nov 30, 2020 Jkt 253001 Submission for OMB Review; Comment Request National Defense University, Department of Defense (DoD). ACTION: 30-Day information collection notice. AGENCY: The DoD has submitted to OMB for clearance the following proposal for collection of information under the provisions of the Paperwork Reduction Act. DATES: Consideration will be given to all comments received by December 31, 2020. SUMMARY: Written comments and recommendations for the proposed information collection should be sent within 30 days of publication of this notice to www.reginfo.gov/public/do/ PRAMain. Find this particular information collection by selecting ‘‘Currently under 30-day Review—Open for Public Comments’’ or by using the search function. FOR FURTHER INFORMATION CONTACT: Angela James, 571–372–7574, or whs.mc-alex.esd.mbx.dd-dodinformation-collections@mail.mil. SUPPLEMENTARY INFORMATION: Title; Associated Form; and OMB Number: National Defense University (NDU) Student Profile; OMB Control Number 0704–XXXX. ADDRESSES: PO 00000 Frm 00046 Fmt 4703 Sfmt 4703 Type of Request: Existing collection in use without an OMB Control Number. Number of Respondents: 2,525. Responses per Respondent: 1. Annual Responses: 2525. Average Burden per Response: 20 minutes. Annual Burden Hours: 841.7 hours. Needs and Uses: This information collection is required to complete the official student record, which is stored in the University Student Management System (USMS), a component of the NDU Enterprise Information System. Through this information collection, students provide profile information such as demographics, educational background, military service or professional background, and emergency contact information. The information is critical to university operations as it is used to fulfill mandatory reporting requirements and ensure the safety of students. The information is collected from students electronically, via a web-based form that contains a combination of selectedresponse (radio buttons, drop-down menus) and open-response items. The National Defense University Student Profile (NSP) is completed by all students, and is administered using a Drupal-based survey platform provided by USA Learning. The data are downloaded, processed, and transferred to the USMS by NDU’s Office of Institutional Research. The end result is a set of complete student records for each academic year in the official repository for such record. The data are used for various institutional purposes such as mandatory reporting and notifying students of emergencies or closures. Affected Public: Individuals or Households. Frequency: Annually. Respondent’s Obligation: Voluntary. OMB Desk Officer: Ms. Jasmeet Seehra. You may also submit comments and recommendations, identified by Docket ID number and title, by the following method: • Federal eRulemaking Portal: https:// www.regulations.gov. Follow the instructions for submitting comments. Instructions: All submissions received must include the agency name, Docket ID number, and title for this Federal Register document. The general policy for comments and other submissions from members of the public is to make these submissions available for public viewing on the internet at https:// www.regulations.gov as they are received without change, including any personal identifiers or contact information. E:\FR\FM\01DEN1.SGM 01DEN1

Agencies

[Federal Register Volume 85, Number 231 (Tuesday, December 1, 2020)]
[Notices]
[Pages 77183-77184]
From the Federal Register Online via the Government Publishing Office [www.gpo.gov]
[FR Doc No: 2020-26441]


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CONSUMER PRODUCT SAFETY COMMISSION


CPSC Artificial Intelligence Forum

AGENCY: Consumer Product Safety Commission.

ACTION: Announcement of forum.

-----------------------------------------------------------------------

SUMMARY: Consumer Product Safety Commission (CPSC) staff is holding a 
forum on artificial intelligence (AI), and related technologies, such 
as Machine Learning (ML). CPSC staff invites interested parties to 
attend or participate in the AI forum via webinar.

DATES: The AI forum will take place from 9 a.m. to 4 p.m., Eastern 
Standard Time (EST) on Tuesday, March 2, 2021, via webinar. All 
attendees should pre-register for the webinar. Individuals interested 
in serving on panels or presenting information at the forum should 
register by January 15, 2020. All other individuals who wish to attend 
the forum should register by February 15, 2021.

ADDRESSES: The forum will be held via webinar. Attendance is free of 
charge. Persons interested in attending the forum should register 
online at: https://attendee.gotowebinar.com/register/4723099942466621456 and fill in the information. After registering, you 
will receive a confirmation email containing information about joining 
the webinar. Persons interested in serving on a panel or presenting 
information should email [email protected] an abstract by January 4, 
2021. Detailed instructions for the webinar participants and other 
interested parties will be made available on the CPSC website on the 
public calendar: https://cpsc.gov/newsroom/public-calendar.

FOR FURTHER INFORMATION CONTACT: Nevin Taylor, Chief Technologist, 4330 
East West Highway, Bethesda, MD 20814; telephone: 301-509-0264; email: 
[email protected].

SUPPLEMENTARY INFORMATION: CPSC staff is hosting an AI forum to collect 
information on the voluntary consensus standards, certification, and 
product specification efforts associated with products using AI, ML, 
and related technologies. The information collected from the forum will 
assist staff in making recommendations for improving the safety of 
consumer products that include this technology.

I. Background

    For this Forum, we are generally defining ``Artificial 
intelligence'' (AI) as any method for programming computers or products 
to enable them to carry out tasks or behaviors that would require 
intelligence if performed by humans.\1\ ``Machine learning'' (ML) is 
typically understood to be an iterative process of applying models or 
algorithms to data sets to learn and detect patterns and/or perform 
tasks, such as prediction or decision making that can approximate some 
aspects of intelligence.\2\
---------------------------------------------------------------------------

    \1\ https://www.nap.edu/catalog/25021/the-frontiers-of-machine-learning-2017-raymond-and-beverly-sackler.
    \2\ Ian Goodfellow Yoshua Bengio Aaron Courville, Deep Learning 
(Adaptive Computation and Machine Learning series), (MIT Press, 
2016), 1.
---------------------------------------------------------------------------

A. Potential Uses of AI ML in Consumer Products To Improve Product 
Safety

    CPSC staff is aware of consumer products with claims of AI 
inclusion. Children's toys, residential appliances, and recreational 
products are being marketed touting the use of AI, ML, and related 
technologies to improve product efficacy and consumer experience. 
Although opportunities exist for manufacturers to improve safety using 
new technologies, hazards may also be associated with the inclusion of 
these technologies.

B. AI, ML, and Related Technologies

    AI, ML, and related technologies have the potential to dramatically 
change the nature of consumer products, with important ramifications 
for CPSC's responsibilities to protect consumers from product hazards. 
In particular, products with AI or ML technologies would be learning 
from the consumer and from the operational environment for the product. 
Customization occurs through the evolution of products after delivery 
to the consumer, resulting in significant ramifications for 
manufacturer's implementation of AI and ML that shape products and 
transform consumer experience. Although adapting to consumer 
preferences has the potential to make significant strides in product 
customization of features and safety enhancements, using data to 
predict and enhance product operation could result in safety hazards.

C. Ramifications of AI and ML in Consumer Products

    Manufacturers may not fully understand the operation of the AI-
enabled products, particularly for those using genetic algorithms and 
other evolutionary AI techniques. Changes to the product after purchase 
may impede CPSC's ability to replicate reported hazards, creating 
challenges for compliance investigations and product safety standards 
development.

D. Relevant Voluntary Standards

    Voluntary standards organizations are developing consensus 
standards related to AI and ML technologies that will likely inform and 
improve safety-related characteristics in consumer products. AI and ML 
standards in the automotive, aerospace, and defense industries are 
ongoing, and knowledge from these efforts may be valuable in consumer 
product safety standards development.

II Forum Topics

    The AI forum will discuss existing and proposed voluntary consensus 
standards, certifications, testing methods, product specifications, 
best practices, and similar guidance for AI, ML, and related 
technologies. There is currently considerable interest in exploring a 
variety of areas of AI and ML, including ethics, security, and privacy. 
However, given the CPSC mission, this forum is focused on obtaining 
information specific to

[[Page 77184]]

assisting the agency's safety efforts with consumer products that use 
these technologies. CPSC staff is interested in discussing the best way 
to provide guidance to manufacturers and importers of consumer products 
with AI and ML, to test products for safety that address the following 
considerations:
     Identification:
    [cir] Determine presence of AI and ML in consumer products.
    [ssquf] Does the product have AI and ML components?
     Implications:
    [cir] Differentiate what AI and ML functionality exists.
    [ssquf] What are the AI and ML capabilities?
     Impact:
    [cir] Discern how AI and ML dependencies affect consumers.
    [ssquf] Do AI and ML affect consumer product safety?
     Iteration:
    [cir] Distinguish when AI and ML, evolve and how this 
transformation changes outcomes.
    [ssquf] When do products evolve/transform, and do the evolutions/
transformations affect product safety?

III. Forum Details

A. Forum Time and Place

    CPSC staff will hold the forum from 9 a.m. to 4 p.m., EST on 
Tuesday, March 2, 2021, via webinar.

B. Forum Registration

    If you would like to attend the AI Forum, but you do not wish to 
make a presentation or participate on a panel, please register online 
by February 15, 2021. (See the ADDRESSES portion of this document for 
the website link and instructions to register.)
    If you would like to make a presentation at the AI Forum, or you 
wish to be considered as a panel member for a specific topic or topics, 
email an electronic version of your abstract to Nevin Taylor, 
[email protected], by January 4, 2021. Abstracts should be relevant to 
the forum topic and no longer than two pages. Staff will select 
panelists and individuals to make presentations at the AI forum based 
on considerations such as: The submitted abstract information, the 
individual's demonstrated familiarity or expertise with the topic to be 
discussed, the practical utility of the information to be presented, 
and the individual's viewpoint or ability to represent certain 
interests (such as large manufacturers, small manufacturers, consumer 
advocates, and consumers). Staff would like the presentations to 
represent and address a wide variety of stakeholders and interests. 
Staff will notify those who are selected to make a presentation or 
participate in a panel by January 15, 2021, so that you can prepare and 
provide your final presentation by February 12, 2021.
    Although staff will make an effort to accommodate all persons who 
wish to make a presentation, the time allotted for presentations will 
depend on the agenda and the number of persons who wish to speak on a 
given topic. Staff recommends that individuals and organizations with 
common interests consolidate or coordinate their presentations, and 
request time for a joint presentation. If you have any questions 
regarding participating in the forum, contact Nevin Taylor, 
[email protected], 301-509-0264.

Alberta E. Mills,
Secretary, U.S. Consumer Product Safety Commission.
[FR Doc. 2020-26441 Filed 11-30-20; 8:45 am]
BILLING CODE 6355-01-P
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