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II
116TH CONGRESS
2D SESSION
S. 5052
To increase fairness and transparency in algorithmic eligibility determinations.
IN THE SENATE OF THE UNITED STATES
DECEMBER 17, 2020
Mr. COONS introduced the following bill; which was read twice and referred
to the Committee on Commerce, Science, and Transportation
A BILL
To increase fairness and transparency in algorithmic
eligibility determinations.
Be it enacted by the Senate and House of Representa-
1
tives of the United States of America in Congress assembled,
2
SECTION 1. SHORT TITLE; TABLE OF CONTENTS.
3
(a) SHORT TITLE.—This Act may be cited as the
4
‘‘Algorithmic Fairness Act of 2020’’.
5
(b) TABLE OF CONTENTS.—The table of contents of
6
this Act is as follows:
7
Sec. 1. Short title; table of contents.
Sec. 2. Definitions.
Sec. 3. FTC study and report on ways companies are developing and imple-
menting algorithmic eligibility determinations.
Sec. 4. Substantive fairness.
Sec. 5. Procedural fairness.
Sec. 6. Enforcement.
Sec. 7. Research grants for the study of fair and transparent data analytics.
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Sec. 8. Leadership program.
Sec. 9. Avoiding duplication.
SEC. 2. DEFINITIONS.
1
In this Act:
2
(1) ALGORITHMIC
ELIGIBILITY
DETERMINA-
3
TION.—The term ‘‘algorithmic eligibility determina-
4
tion’’ means a determination based in whole or in
5
significant part on an algorithmic process that uti-
6
lizes methods of machine learning, advanced statis-
7
tical techniques, artificial intelligence, or similar
8
techniques to determine the eligibility for, the denial
9
of access to, the receipt of information about, the
10
cost of acquiring, the opportunity to access, or the
11
revocation of important opportunities including, but
12
not limited to, education, employment, credit, health
13
care insurance, and housing.
14
(2) COMMISSION.—The term ‘‘Commission’’
15
means the Federal Trade Commission.
16
(3) COVERED ENTITY.—The term ‘‘covered en-
17
tity’’ means an entity that—
18
(A) makes an algorithmic eligibility deter-
19
mination; and
20
(B) is—
21
(i) a person over which the Commis-
22
sion has authority pursuant to section
23
5(a)(2) of the Federal Trade Commission
24
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•S 5052 IS
Act (15 U.S.C. 45(a)(2)), but including
1
banks, savings and loan institutions, and
2
Federal credit unions that are otherwise
3
excluded under such section;
4
(ii) a common carrier subject to the
5
Communications Act of 1934 (47 U.S.C.
6
151 et seq.), notwithstanding the definition
7
of the term ‘‘Acts to regulate commerce’’
8
in section 4 of the Federal Trade Commis-
9
sion Act (15 U.S.C. 44) and the exception
10
provided by section 5(a)(2) of the Federal
11
Trade
Commission
Act
(15
U.S.C.
12
45(a)(2)) for such carriers; or
13
(iii) a nonprofit organization, includ-
14
ing any organization described in section
15
501(c) of the Internal Revenue Code of
16
1986 that is exempt from taxation under
17
section 501(a) of such Code, notwith-
18
standing the definition of the term ‘‘Acts
19
to regulate commerce’’ in section 4 of the
20
Federal Trade Commission Act (15 U.S.C.
21
44) and the exception provided by section
22
5(a)(2) of the Federal Trade Commission
23
Act (15 U.S.C. 45(a)(2)) for such organi-
24
zations.
25
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(4) ONLINE ADVERTISEMENT.—The term ‘‘on-
1
line advertisement’’ means an algorithmic eligibility
2
determination that determines whether an individual
3
receives promotional information from a covered en-
4
tity through the use of paid internet or paid digital
5
communication.
6
(5) SEARCH
RESULT.—The term ‘‘search re-
7
sult’’ means an algorithmic eligibility determination
8
that determines the information an individual is pre-
9
sented after querying an internet search engine.
10
SEC. 3. FTC STUDY AND REPORT ON WAYS COMPANIES ARE
11
DEVELOPING
AND
IMPLEMENTING
ALGO-
12
RITHMIC ELIGIBILITY DETERMINATIONS.
13
(a) STUDY.—The Commission shall conduct a study
14
on the ways covered entities are developing and imple-
15
menting algorithmic eligibility determinations. Such study
16
shall include an analysis of—
17
(1) the industries that most commonly utilize
18
algorithmic eligibility determinations;
19
(2) the types of algorithmic eligibility deter-
20
minations that covered entities make;
21
(3) the data, data sources, pre-processing strat-
22
egies and other practices, data collection tech-
23
nologies, and methodologies that covered entities use
24
to make such determinations;
25
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(4) the transparency of algorithmic eligibility
1
determinations, including the types of explanations
2
that covered entities disclose to—
3
(A) individuals or entities that are the sub-
4
ject of an algorithmic eligibility determination;
5
(B) regulators; and
6
(C) the general public;
7
(5) whether and how human decision makers
8
are involved in rendering algorithmic eligibility de-
9
terminations;
10
(6) whether covered entities have a mechanism
11
to receive complaints about algorithmic eligibility de-
12
terminations, and the number and nature of such
13
complaints received from individuals regarding such
14
determinations;
15
(7) whether covered entities have accountability
16
procedures in place should an algorithmic eligibility
17
determination be questioned or challenged, a de-
18
scription of such accountability procedures, and
19
what remedial steps covered entities have taken, if
20
any;
21
(8) what information a covered entity could rea-
22
sonably be required to disclose such that an indi-
23
vidual could understand, question, or challenge an
24
algorithmic eligibility determination;
25
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(9) whether covered entities perform algo-
1
rithmic audits to understand whether algorithmic eli-
2
gibility determinations are fair, how covered entities
3
define fairness for this purpose, and whether any
4
such audit techniques and outcomes of audits are
5
available to individuals or groups challenging an al-
6
gorithmic eligibility determination;
7
(10) the extent to which, if any, algorithmic eli-
8
gibility determinations consider factors such as geo-
9
graphic information, income, ethnicity, race, religion,
10
national origin, age, sex, sexual orientation, dis-
11
ability information, pregnancy, marital status, phys-
12
ical or mental health status, criminal history status,
13
or proxies for such factors;
14
(11) the extent to which algorithmic eligibility
15
determinations could result in negative or differen-
16
tial treatment of individuals based on the factors de-
17
scribed in paragraph (10); and
18
(12) the best way to address intellectual prop-
19
erty concerns of covered entities, like trade secret
20
protections, that may arise if the Federal Govern-
21
ment requires companies to share information re-
22
lated to their algorithmic eligibility determination
23
processes.
24
(b) REPORTS.—
25
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(1) INITIAL REPORT.—Not later than 1 year
1
after the date of the enactment of this Act, and once
2
every 3 years thereafter (until a total of 4 reports
3
have been submitted), the Commission shall submit
4
to Congress a report on the study conducted under
5
subsection (a), together with recommendations for
6
such additional legislation and administrative action
7
as the Commission determines appropriate.
8
(2) SPECIAL RULE.—In the final report sub-
9
mitted in accordance with paragraph (1), the Com-
10
mission shall include a recommendation as to wheth-
11
er to continue conducting the study under subsection
12
(a) (and submitting corresponding reports under this
13
subsection).
14
(c) CONSULTATION.—In conducting the study under
15
subsection (a) and preparing the reports under subsection
16
(b), the Commission shall consult with—
17
(1) the National Institute of Standards and
18
Technology;
19
(2) the Department of Homeland Security;
20
(3) the Consumer Financial Protection Bureau;
21
(4) the Department of Housing and Urban De-
22
velopment;
23
(5) the Department of Health and Human
24
Services;
25
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(6) the Department of Veterans Affairs;
1
(7) the Department of Education;
2
(8) the Federal Communications Commission;
3
(9) the Equal Employment Opportunity Com-
4
mission; and
5
(10) the Civil Rights Division of the Depart-
6
ment of Justice.
7
SEC. 4. SUBSTANTIVE FAIRNESS.
8
(a) IN GENERAL.—A covered entity shall not act on
9
an unfair algorithmic eligibility determination in or affect-
10
ing commerce.
11
(b) CONSIDERATIONS.—In determining whether a
12
particular algorithmic eligibility determination is unfair,
13
the Commission—
14
(1) shall consider the factors specified in sec-
15
tion 5(n) of the Federal Trade Commission Act (15
16
U.S.C. 45(n)); and
17
(2) may consider—
18
(A) established public policies;
19
(B) emotional distress, bias on the basis of
20
protected class status, and other noneconomic
21
injuries, and may conclude that these injuries
22
contribute to substantial injury to consumers
23
for the purposes of section 5(n) of the Federal
24
Trade Commission Act (15 U.S.C. 45(n)); and
25
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(C) any code of conduct developed by in-
1
dustry sectors, civil rights groups, consumer
2
protection groups, or academics, as long as the
3
Commission has first published such code of
4
conduct in the Federal Register and provided
5
for a period of public comment in accordance
6
with section 553 of title 5, United States Code.
7
SEC. 5. PROCEDURAL FAIRNESS.
8
(a) IN GENERAL.—Beginning 1 year after the date
9
of the enactment of this Act, each covered entity shall,
10
for each algorithmic eligibility determination—
11
(1) retain for at least 5 years an audit trail
12
that records—
13
(A) the data used by the algorithm, as it
14
existed at the time the algorithm was deployed
15
and rendered the algorithmic eligibility deter-
16
mination;
17
(B) the source of pre-processing tech-
18
niques, or any other technique used to produce
19
any such data described in subparagraph (A);
20
(C) the methodology used by the entity to
21
develop the algorithm;
22
(D) the version of the design of the algo-
23
rithm utilized to make the determination;
24
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(E) any data or sets of data used to train
1
the algorithm;
2
(F) any testing for model performance for
3
discriminatory effects across different sub-
4
groups and the results of such testing;
5
(G) the methodology used to render the de-
6
termination; and
7
(H) the ultimate determination rendered;
8
(2) notify the individual that they have been the
9
subject of an algorithmic eligibility determination;
10
and
11
(3) upon request, provide the individual with
12
the opportunity to—
13
(A) access the data pertaining to that indi-
14
vidual that the covered entity employed to make
15
the determination, in a human-readable format
16
that a reasonable individual can understand;
17
(B) submit corrections to the data per-
18
taining to that individual that the covered enti-
19
ty used in the algorithmic eligibility determina-
20
tion; and
21
(C) request that the covered entity conduct
22
a reevaluation of the relevant algorithmic eligi-
23
bility determination based on the corrected
24
data.
25
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(b) REVIEW.—Upon the request of the Commission,
1
a covered entity shall make available to the Commission
2
the full audit trail described in subsection (a)(1). The
3
Commission shall establish a secure and confidential proc-
4
ess for reviewing the materials created and retained under
5
such subsection.
6
(c) REQUEST TO THE COMMISSION.—An individual
7
who has been the subject of an algorithmic eligibility de-
8
termination may request that the Commission conduct a
9
review (and the Commission may conduct such a review)
10
of—
11
(1) the algorithmic eligibility determination to
12
determine if it was unfair (determined pursuant to
13
section (4)); and
14
(2) a covered entity’s reevaluation of an algo-
15
rithmic eligibility determination where an individual
16
has submitted corrected data.
17
(d) RULE OF CONSTRUCTION.—Nothing in this sec-
18
tion shall be construed to require a covered entity to pro-
19
vide an individual with the algorithm or model used to
20
make the eligibility determination, or otherwise divulge le-
21
gally protected trade secrets.
22
(e) SCOPE.—Notwithstanding any of the preceding
23
provisions of this section, subsection (a)(2) shall not apply
24
to—
25
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(1) online advertisements;
1
(2) search results; or
2
(3) any other use case for which the Commis-
3
sion determines, by rulemaking in accordance with
4
section 553 of title 5, United States Code, that the
5
requirements of subsection (a)(2) would impose an
6
undue burden on or prove to be infeasible for that
7
general class of use case.
8
SEC. 6. ENFORCEMENT.
9
(a) ENFORCEMENT BY THE FEDERAL TRADE COM-
10
MISSION.—
11
(1) UNFAIR ACT OR PRACTICE.—Any covered
12
entity that violates section 4 or section 5 shall be
13
deemed to have committed an unfair act or practice
14
under section 5(a)(1) of the Federal Trade Commis-
15
sion Act (15 U.S.C. 45(a)(1)).
16
(2) POWERS OF THE COMMISSION.—
17
(A) IN GENERAL.—The Commission shall
18
enforce sections 4 and 5 in the same manner,
19
by the same means, and with the same jurisdic-
20
tion, pow
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