Data Explorer · Federal AI Intelligence

Data explorer

Cross-tabulate any two fields, check what is missing, and summarise groups. Every cell links to the records behind it.

Agency

DHS · Department of Homeland Security18SBA · Small Business Administration15DOE · Department of Energy9SSA · Social Security Administration4FERC · Federal Energy Regulatory Commission2EPA · Environmental Protection Agency1STATE · Department of State1

Stage

Deployed32Pilot6Pre-deployment10Retired2

High-impact

High-impact24Presumed high-impact, determined not1Not high-impact25

Topic

AI type

Generative AI21Classical / predictive ML13Natural language processing4Computer vision12

Sourcing

Developed in-house12Contract and in-house15Purchased from vendor23

Vendor

Function

Start year

FromTo

Only records with a parseable start date match a year filter.

appeal: not_applicablemonitoring: affirmative

Agency × Development stage

50 records

	Deployed	Pilot	Pre-deployment	Retired	Total
DHS	18				18
SBA		4	9	2	15
DOE	7	1	1		9
SSA	4				4
FERC	1	1			2
EPA	1				1
STATE	1				1
Total	32	6	10	2	50

Missing-data analysis

Core fields, current filter

Field	Filled	Filled %
Stage	50	100%
High-impact designation	50	100%
Topic area	50	100%
AI classification	50	100%
Problem	50	100%
Benefits	50	100%
Outputs	50	100%
Sourcing	50	100%
Start date	50	100%
ATO	50	100%
PII	50	100%
Custom code	50	100%

Descriptive statistics

Current filter

Records	50
Agencies	7
Records per agency: median	4
Records per agency: largest	18
Deployed share	64.0%
High-impact share (of designated)	48.0%
Mean core-field completeness	100%
Records with a parseable start date	100.0%

Grouped summary by agency

Shares use each agency's own record count

Agency	Records	Deployed %	Pilot %	High-impact	Generative %	In-house (of reported)	Completeness
DHS	18	100%	0%	18	0%	67%	100%
SBA	15	0%	27%	0	80%	13%	100%
DOE	9	78%	11%	0	67%	56%	100%
SSA	4	100%	0%	4	25%	100%	100%
FERC	2	50%	50%	0	50%	100%	100%
EPA	1	100%	0%	1	0%	100%	100%
STATE	1	100%	0%	1	100%	100%	100%