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

DOE · Department of Energy5DHS · Department of Homeland Security2STATE · Department of State2

Stage

Deployed8Pilot1

High-impact

High-impact4Not high-impact5

Topic

AI type

Generative AI4Classical / predictive ML3Natural language processing1Computer vision1

Sourcing

Developed in-house1Contract and in-house3Purchased from vendor5

Vendor

Function

Start year

FromTo

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

feedback: affirmativeimpact_assessment: in_progresstesting: affirmative

Missing-data analysis

Core fields, current filter

Field	Filled	Filled %
Stage	9	100%
High-impact designation	9	100%
Topic area	9	100%
AI classification	9	100%
Problem	9	100%
Benefits	9	100%
Outputs	9	100%
Sourcing	9	100%
Start date	9	100%
ATO	9	100%
PII	9	100%
Custom code	9	100%

Current filter

Records	9
Agencies	3
Records per agency: median	2
Records per agency: largest	5
Deployed share	88.9%
High-impact share (of designated)	44.4%
Mean core-field completeness	100%
Records with a parseable start date	100.0%

Shares use each agency's own record count

Agency	Records	Deployed %	Pilot %	High-impact	Generative %	In-house (of reported)	Completeness
DOE	5	80%	20%	0	60%	20%	100%
DHS	2	100%	0%	2	0%	50%	100%
STATE	2	100%	0%	2	50%	100%	100%