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

DOJ · Department of Justice5SEC · Securities and Exchange Commission3FERC · Federal Energy Regulatory Commission1FHFA · Federal Housing Finance Agency1HHS · Department of Health and Human Services1OSHRC · Occupational Safety and Health Review Commission1

Stage

Deployed8Pilot3Pre-deployment1

High-impact

High-impact1Presumed high-impact, determined not2Not high-impact9

Topic

Law Enforcement6Other5Administrative Functions1

AI type

Generative AI8Natural language processing3Computer vision1

Sourcing

Purchased from vendor12

Vendor1

Function

Start year

FromTo

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

training: blankVendor: Thomson Reuters

Agency × Development stage

12 records

	Deployed	Pilot	Pre-deployment	Total
DOJ	4	1		5
SEC	2	1		3
FERC			1	1
FHFA	1			1
HHS		1		1
OSHRC	1			1
Total	8	3	1	12

Missing-data analysis

Core fields, current filter

Field	Filled	Missing	Filled %
Stage	12	0	100%
High-impact designation	12	0	100%
Topic area	12	0	100%
AI classification	12	0	100%
Problem	12	0	100%
Benefits	12	0	100%
Outputs	12	0	100%
Sourcing	12	0	100%
Start date	12	0	100%
ATO	11	1	92%
PII	11	1	92%
Custom code	11	1	92%

Descriptive statistics

Current filter

Records	12
Agencies	6
Records per agency: median	1
Records per agency: largest	5
Deployed share	66.7%
High-impact share (of designated)	8.3%
Mean core-field completeness	98%
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
DOJ	5	80%	20%	1	20%	0%	100%
SEC	3	67%	33%	0	100%	0%	92%
FHFA	1	100%	0%	0	100%	0%	100%
HHS	1	0%	100%	0	100%	0%	100%
FERC	1	0%	0%	0	100%	0%	100%
OSHRC	1	100%	0%	0	100%	0%	100%