Technology landscape
How reported AI classifications spread across agencies, missions, lifecycle stages and sourcing. Each record carries one reported classification, so categories do not overlap. A classification describes the technique, not a specific commercial model.
Lifecycle by technology
Share of each technology's recordsDeployed: 6 (28.6%)Generative AI
Pilot: 5 (23.8%)Generative AI
Pre-deployment: 9 (42.9%)Generative AI
Retired: 1 (4.8%)
Sourcing by technology
Where reportedDeveloped in-house: 4 (19.0%)Generative AI
Contract and in-house: 3 (14.3%)Generative AI
Purchased from vendor: 14 (66.7%)
Developed in-house: 7 (53.8%)Classical / predictive ML
Contract and in-house: 4 (30.8%)Classical / predictive ML
Purchased from vendor: 2 (15.4%)
Technology adoption by agency
Row share: each agency's records by classification · 16 largest portfolios in the filterTechnology by topic area
Row share within each topic| Generative AI | Classical / predictive ML | Natural language processing | Computer vision | n | |
|---|---|---|---|---|---|
| Law Enforcement | 29% | 71% | 17 | ||
| Administrative Functions | 89% | 11% | 9 | ||
| Information Technology | 71% | 14% | 14% | 7 | |
| Service Delivery | 60% | 40% | 5 | ||
| Government Benefits Processing | 25% | 75% | 4 | ||
| Energy and the Environment | 50% | 50% | 2 | ||
| Other | 50% | 50% | 2 | ||
| Cybersecurity | 100% | 1 | |||
| Health and Medical | 100% | 1 | |||
| Procurement and Financial Management | 100% | 1 | |||
| Transportation | 100% | 1 |
High-impact designation by technology
High-impact: 2 (9.5%)Generative AI
Presumed high-impact, determined not: 1 (4.8%)Generative AI
Not high-impact: 18 (85.7%)
High-impact: 1 (25.0%)Natural language processing
Not high-impact: 3 (75.0%)
Governance disclosure by technology
High-impact records: reported in place / scope| Technology | High-impact | Testing | Impact assess. | Indep. review | Monitoring | Training |
|---|---|---|---|---|---|---|
| Generative AI | 2 | 2 / 2 | 1 / 2 | 1 / 2 | 2 / 2 | 2 / 2 |
| Classical / predictive ML | 9 | 9 / 9 | 8 / 9 | 8 / 9 | 9 / 9 | 9 / 9 |
| Natural language processing | 1 | 1 / 1 | 1 / 1 | 1 / 1 | 1 / 1 | 1 / 1 |
| Computer vision | 12 | 12 / 12 | 11 / 12 | 11 / 12 | 12 / 12 | 12 / 12 |
Shows counts reported in place against all high-impact records of that technology. The remainder includes in-progress, not applicable and unanswered. Full governance view
Systems, vendors and technology are different things
42 of 50 records name a vendor (84%)Vendor: the supplier the agency names in a free-text field. Matched to a standard list of companies; one record may name several.
System name: the agency's name for the system (reported for 100% of records).
AI classification: the technique category the agency selected. A vendor name does not show which model or technique is used, and this platform does not infer it.