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 Security23DOE · Department of Energy10SSA · Social Security Administration6STATE · Department of State2EPA · Environmental Protection Agency1FERC · Federal Energy Regulatory Commission1TREAS · Department of the Treasury1USDA · Department of Agriculture1

Stage1

Deployed45Pilot5Pre-deployment8

High-impact

High-impact32Not high-impact13

Topic

AI type

Generative AI4Classical / predictive ML23Natural language processing5Computer vision13

Sourcing

Developed in-house12Contract and in-house20Purchased from vendor13

Vendor

Function

Start year

FromTo

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

failsafe: affirmativetesting: affirmativeStage: Deployed

Agency × Development stage

45 records

	Deployed	Total
DHS	23	23
DOE	10	10
SSA	6	6
STATE	2	2
EPA	1	1
FERC	1	1
TREAS	1	1
USDA	1	1
Total	45	45

Missing-data analysis

Core fields, current filter

Field	Filled	Filled %
Stage	45	100%
High-impact designation	45	100%
Topic area	45	100%
AI classification	45	100%
Problem	45	100%
Benefits	45	100%
Outputs	45	100%
Sourcing	45	100%
Start date	45	100%
ATO	45	100%
PII	45	100%
Custom code	45	100%

Descriptive statistics

Current filter

Records	45
Agencies	8
Records per agency: median	1
Records per agency: largest	23
Deployed share	100.0%
High-impact share (of designated)	71.1%
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	23	100%	0%	23	0%	78%	100%
DOE	10	100%	0%	0	10%	40%	100%
SSA	6	100%	0%	6	17%	83%	100%
STATE	2	100%	0%	2	50%	100%	100%
USDA	1	100%	0%	1	0%	100%	100%
EPA	1	100%	0%	0	0%	100%	100%
FERC	1	100%	0%	0	0%	100%	100%
TREAS	1	100%	0%	0	100%	0%	100%