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 Security17DOE · Department of Energy10STATE · Department of State2FERC · Federal Energy Regulatory Commission1SSA · Social Security Administration1

Stage1

Deployed31Pilot5Pre-deployment7Retired1

High-impact

High-impact20Not high-impact11

Topic

AI type

Generative AI6Classical / predictive ML9Natural language processing5Computer vision11

Sourcing

Developed in-house8Contract and in-house16Purchased from vendor7

Vendor

Function

Start year

FromTo

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

feedback: affirmativemonitoring: affirmativeStage: Deployed

	Deployed	Total
DHS	17	17
DOE	10	10
STATE	2	2
FERC	1	1
SSA	1	1
Total	31	31

Missing-data analysis

Core fields, current filter

Field	Filled	Filled %
Stage	31	100%
High-impact designation	31	100%
Topic area	31	100%
AI classification	31	100%
Problem	31	100%
Benefits	31	100%
Outputs	31	100%
Sourcing	31	100%
Start date	31	100%
ATO	31	100%
PII	31	100%
Custom code	31	100%

Descriptive statistics

Current filter

Records	31
Agencies	5
Records per agency: median	2
Records per agency: largest	17
Deployed share	100.0%
High-impact share (of designated)	64.5%
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	17	100%	0%	17	0%	76%	100%
DOE	10	100%	0%	0	40%	70%	100%
STATE	2	100%	0%	2	50%	100%	100%
FERC	1	100%	0%	0	0%	100%	100%
SSA	1	100%	0%	1	100%	100%	100%

Agency × Development stage

Missing-data analysis

Descriptive statistics

Grouped summary by agency