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 Security26SSA · Social Security Administration7DOE · Department of Energy6DOL · Department of Labor1FERC · Federal Energy Regulatory Commission1

Stage1

Deployed41Pilot5Pre-deployment14Retired2

High-impact

High-impact34Not high-impact7

Topic

AI type

Generative AI1Classical / predictive ML19Natural language processing6Computer vision15

Sourcing

Developed in-house11Contract and in-house16Purchased from vendor14

Vendor

Function

Start year

FromTo

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

impact_assessment: affirmativemonitoring: affirmativeStage: Deployed

	Deployed	Total
DHS	26	26
SSA	7	7
DOE	6	6
DOL	1	1
FERC	1	1
Total	41	41

Missing-data analysis

Core fields, current filter

Field	Filled	Filled %
Stage	41	100%
High-impact designation	41	100%
Topic area	41	100%
AI classification	41	100%
Problem	41	100%
Benefits	41	100%
Outputs	41	100%
Sourcing	41	100%
Start date	41	100%
ATO	41	100%
PII	41	100%
Custom code	41	100%

Descriptive statistics

Current filter

Records	41
Agencies	5
Records per agency: median	6
Records per agency: largest	26
Deployed share	100.0%
High-impact share (of designated)	82.9%
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	26	100%	0%	26	0%	69%	100%
SSA	7	100%	0%	7	14%	86%	100%
DOE	6	100%	0%	0	0%	17%	100%
DOL	1	100%	0%	1	0%	100%	100%
FERC	1	100%	0%	0	0%	100%	100%

Agency × Development stage

Missing-data analysis

Descriptive statistics

Grouped summary by agency