Data Explorer

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 Security21DOE · Department of Energy7SSA · Social Security Administration6FERC · Federal Energy Regulatory Commission1TREAS · Department of the Treasury1

Stage1

Deployed36Pilot3Pre-deployment8

High-impact

High-impact29Not high-impact7

Topic

AI type

Generative AI4Classical / predictive ML17Natural language processing4Computer vision11

Sourcing

Developed in-house8Contract and in-house15Purchased from vendor13

Vendor

Function

Start year

FromTo

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

failsafe: affirmativeimpact_assessment: affirmativeStage: Deployed

	Deployed	Total
DHS	21	21
DOE	7	7
SSA	6	6
FERC	1	1
TREAS	1	1
Total	36	36

Missing-data analysis

Core fields, current filter

Field	Filled	Filled %
Stage	36	100%
High-impact designation	36	100%
Topic area	36	100%
AI classification	36	100%
Problem	36	100%
Benefits	36	100%
Outputs	36	100%
Sourcing	36	100%
Start date	36	100%
ATO	36	100%
PII	36	100%
Custom code	36	100%

Descriptive statistics

Current filter

Records	36
Agencies	5
Records per agency: median	6
Records per agency: largest	21
Deployed share	100.0%
High-impact share (of designated)	80.6%
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	21	100%	0%	21	0%	81%	100%
DOE	7	100%	0%	2	29%	0%	100%
SSA	6	100%	0%	6	17%	83%	100%
FERC	1	100%	0%	0	0%	100%	100%
TREAS	1	100%	0%	0	100%	0%	100%

Agency × Development stage

Missing-data analysis

Descriptive statistics

Grouped summary by agency