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: 9 (33.3%)Generative AI
Pilot: 7 (25.9%)Generative AI
Pre-deployment: 10 (37.0%)Generative AI
Retired: 1 (3.7%)
Sourcing by technology
Where reportedDeveloped in-house: 7 (25.9%)Generative AI
Contract and in-house: 4 (14.8%)Generative AI
Purchased from vendor: 16 (59.3%)
Developed in-house: 7 (46.7%)Classical / predictive ML
Contract and in-house: 4 (26.7%)Classical / predictive ML
Purchased from vendor: 4 (26.7%)
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 | 26% | 5% | 68% | 19 | |
| Administrative Functions | 91% | 9% | 11 | ||
| Information Technology | 78% | 11% | 11% | 9 | |
| Government Benefits Processing | 40% | 60% | 5 | ||
| Service Delivery | 60% | 40% | 5 | ||
| Energy and the Environment | 25% | 50% | 25% | 4 | |
| Other | 67% | 33% | 3 | ||
| Cybersecurity | 100% | 1 | |||
| Health and Medical | 100% | 1 | |||
| Procurement and Financial Management | 100% | 1 | |||
| Transportation | 100% | 1 |
High-impact designation by technology
High-impact: 3 (11.1%)Generative AI
Presumed high-impact, determined not: 1 (3.7%)Generative AI
Not high-impact: 23 (85.2%)
High-impact: 2 (40.0%)Natural language processing
Not high-impact: 3 (60.0%)
Governance disclosure by technology
High-impact records: reported in place / scope| Technology | High-impact | Testing | Impact assess. | Indep. review | Monitoring | Training |
|---|---|---|---|---|---|---|
| Generative AI | 3 | 3 / 3 | 2 / 3 | 2 / 3 | 2 / 3 | 3 / 3 |
| Classical / predictive ML | 9 | 9 / 9 | 8 / 9 | 8 / 9 | 9 / 9 | 9 / 9 |
| Natural language processing | 2 | 2 / 2 | 1 / 2 | 1 / 2 | 1 / 2 | 2 / 2 |
| Computer vision | 13 | 13 / 13 | 11 / 13 | 11 / 13 | 12 / 13 | 12 / 13 |
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
49 of 60 records name a vendor (82%)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.