Bill Sponsor
House Bill 2231
116th Congress(2019-2020)
Algorithmic Accountability Act of 2019
Introduced
Introduced
Introduced in House on Apr 10, 2019
Overview
Text
Introduced
Apr 10, 2019
Latest Action
Apr 11, 2019
Origin Chamber
House
Type
Bill
Bill
The primary form of legislative measure used to propose law. Depending on the chamber of origin, bills begin with a designation of either H.R. or S. Joint resolution is another form of legislative measure used to propose law.
Bill Number
2231
Congress
116
Policy Area
Commerce
Commerce
Primary focus of measure is business investment, development, regulation; small business; consumer affairs; competition and restrictive trade practices; manufacturing, distribution, retail; marketing; intellectual property. Measures concerning international competitiveness and restrictions on imports and exports may fall under Foreign Trade and International Finance policy area.
Sponsorship by Party
Democrat
New York
Democrat
California
Democrat
California
Democrat
California
Democrat
California
Democrat
District of Columbia
Democrat
Illinois
Democrat
Maryland
Democrat
Massachusetts
Democrat
Massachusetts
Democrat
Minnesota
Democrat
Mississippi
Democrat
New Mexico
Democrat
North Carolina
Democrat
North Carolina
Democrat
Pennsylvania
Democrat
Tennessee
Democrat
U.S. Virgin Islands
Democrat
Virginia
Democrat
Washington
Democrat
Wisconsin
House Votes (0)
Senate Votes (0)
No House votes have been held for this bill.
Summary

Algorithmic Accountability Act of 2019

This bill requires specified commercial entities to conduct assessments of high-risk systems that involve personal information or make automated decisions, such as systems that use artificial intelligence or machine learning.

Specifically, high-risk automated decision systems include those that (1) may contribute to inaccuracy, bias, or discrimination; or (2) facilitate decision-making about sensitive aspects of consumers' lives by evaluating consumers' behavior. Further, an automated-decision system, or information system involving personal data, is considered high-risk if it (1) raises security or privacy concerns, (2) involves the personal information of a significant number of people, or (3) systematically monitors a large, publicly accessible physical location.

Assessments of high-risk automated-decision systems must (1) describe the system in detail, (2) assess the relative costs and benefits of the system, (3) determine the risks to the privacy and security of personal information, and (4) explain the steps taken to minimize those risks, if discovered. Assessments of high-risk information systems involving personal information must evaluate the extent to which the system protects the privacy and security of such information.

Text (1)
April 10, 2019
Actions (3)
04/11/2019
Referred to the Subcommittee on Consumer Protection and Commerce.
04/10/2019
Referred to the House Committee on Energy and Commerce.
04/10/2019
Introduced in House
Public Record
Record Updated
Nov 1, 2022 7:32:18 PM