| 1 Function | 2 Reference Model | 3 Input/Output Data |
| 4 SubAIMs | 5 JSON Metadata | 6 Profiles |
| 7 Reference Software | 8 Conformance Texting | 9 Performance Assessment |
1 Functions
The Model Licensing (AIH-MDL) AIM:
| Receives | Health Data | Health Data of End User. |
| Model Licence | Model Licence provided by End User for its Health Data. | |
| Produces | AIH Data | Health Data with added Model Licence. |
2 Reference Model
The Model Licensing (AIH-MDL) AIM Reference Model is depicted in Figure 1.
Figure 1 – The Model Licensing (AIH-MDL) AIM Reference Model
3 Input/Output Data
Table 1 specifies the Input and Output Data of the Anomaly and Risk Alerting (AIH-ARA) AIM. Links are to the Data Type specifications.
Table 1 – I/O Data of the Anomaly and Risk Alerting (AIH-ARA) AIM
| Input | Description |
| Health Data | Health Data of End User. |
| Model Licence | Model Licence provided by End User for its Health Data. |
| Output | Description |
| AIH Data | Health Data with added Model Licence. |
4 SubAIMs
No SubAIMs
5 JSON Metadata
https://schemas.mpai.community/AIH1/V1.0/AIMs/ModelLicensing.json
6 Profiles
No Profiles
7 Reference Software
Under development.
8 Conformance Testing
Table 2 provides the Conformance Testing Method for Anomaly and Risk Alerting (AIH-ARA) AIM.
If a schema contains references to other schemas, conformance of data for the primary schema implies that any data referencing a secondary schema shall also validate against the relevant schema, if present and conform with the Qualifier, if present.
Table 2 – Conformance Testing Method for Anomaly and Risk Alerting (AIH-ARA) AIM
| Receives | Health Data | Shall validate against AIH Data schema. |
| Model Licence | Shall validate against Model Licence schema. | |
| Produces | AIH Data | Shall validate against ARA Data schema. |
