Data Explorer · U.S. Federal AI Observatory

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 Security16SBA · Small Business Administration11DOE · Department of Energy2FERC · Federal Energy Regulatory Commission2SSA · Social Security Administration1

Stage

Deployed20Pilot5Pre-deployment6Retired1

High-impact

High-impact17Not high-impact15

Topic

AI type

Generative AI11Classical / predictive ML7Natural language processing4Computer vision10

Sourcing

Developed in-house4Contract and in-house15Purchased from vendor13

Vendor

Function

Start year

FromTo

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

feedback: affirmativeimpact_assessment: affirmativemonitoring: affirmative

Agency × Development stage

32 records

	Deployed	Pilot	Pre-deployment	Retired	Total
DHS	16				16
SBA		4	6	1	11
DOE	2				2
FERC	1	1			2
SSA	1				1
Total	20	5	6	1	32

Missing-data analysis

Core fields, current filter

Field	Filled	Filled %
Stage	32	100%
High-impact designation	32	100%
Topic area	32	100%
AI classification	32	100%
Problem	32	100%
Benefits	32	100%
Outputs	32	100%
Sourcing	32	100%
Start date	32	100%
ATO	32	100%
PII	32	100%
Custom code	32	100%

Descriptive statistics

Current filter

Records	32
Agencies	5
Records per agency: median	2
Records per agency: largest	16
Deployed share	62.5%
High-impact share (of designated)	53.1%
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	16	100%	0%	16	0%	81%	100%
SBA	11	0%	36%	0	82%	18%	100%
FERC	2	50%	50%	0	50%	100%	100%
DOE	2	100%	0%	0	0%	50%	100%
SSA	1	100%	0%	1	100%	100%	100%