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 Security16SBA · Small Business Administration11DOE · Department of Energy2FERC · Federal Energy Regulatory Commission2SSA · Social Security Administration2TREAS · Department of the Treasury1

Stage

Deployed21Pilot6Pre-deployment6Retired1

High-impact

High-impact18Not high-impact16

Topic

AI type

Generative AI13Classical / predictive ML7Natural language processing4Computer vision10

Sourcing

Developed in-house4Contract and in-house16Purchased from vendor14

Vendor

Function

Start year

FromTo

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

feedback: affirmativeimpact_assessment: affirmative

Agency × Development stage

34 records

	Deployed	Pilot	Pre-deployment	Retired	Total
DHS	16				16
SBA		4	6	1	11
DOE	2				2
FERC	1	1			2
SSA	1	1			2
TREAS	1				1
Total	21	6	6	1	34

Missing-data analysis

Core fields, current filter

Field	Filled	Filled %
Stage	34	100%
High-impact designation	34	100%
Topic area	34	100%
AI classification	34	100%
Problem	34	100%
Benefits	34	100%
Outputs	34	100%
Sourcing	34	100%
Start date	34	100%
ATO	34	100%
PII	34	100%
Custom code	34	100%

Descriptive statistics

Current filter

Records	34
Agencies	6
Records per agency: median	2
Records per agency: largest	16
Deployed share	61.8%
High-impact share (of designated)	52.9%
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	16	100%	0%	16	0%	81%	100%
SBA	11	0%	36%	0	82%	18%	100%
FERC	2	50%	50%	0	50%	100%	100%
SSA	2	50%	50%	2	100%	100%	100%
DOE	2	100%	0%	0	0%	50%	100%
TREAS	1	100%	0%	0	100%	0%	100%