July 10, 2026
Year of AI 2026 · Updated July 2026
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Algorithmic Accountability Act Text · Table (p.19)

From algorithmic_accountability_act_text.pdf · page 19

39 rows × 6 cols pdfs_from_pdf_links

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7
based on the level of risk; and
8
(C) assessing and documenting the current
9
and potential future or downstream positive and
10
negative impacts of such system or process on
11
the privacy, safety, or security of consumers
12
and their identifying information.
13
(4) Perform ongoing testing and evaluation of
14
the current and historical performance of the auto-
15
mated decision system or augmented critical decision
16
processusing measuressuchasbenchmarking
17
datasets, representative examples from the covered
18
entity’s historical data, and other standards, includ-
19
ing by documenting—
20
(A) a description of what is deemed suc-
21
cessful performance and the methods and tech-
22
nical and business metrics used by the covered
23
entity to assess performance;
24
(B) a review of the performance of such
25
system or process under test conditions or an
Source
algorithmic_accountability_act_text.pdf
Domain
pdfs_from_pdf_links
Type
pdf
Method
camelot_stream
Dimensions
39 × 6
Page
19