Observatory
Monitoring mechanism producing indicators and periodic AI reports.
How the laws define this
Both frameworks agree that an observatory serves as a monitoring entity—whether described as a mechanism or a platform and evidence hub—that collects, tracks, and analyzes metrics, data, and indicators on artificial intelligence deployments or uptake and their resulting impacts to inform policy decisions and evaluations. Their principal divergence lies in the specific scope of inputs tracked and the targeted outputs. Under AI4Belgium, the observatory functions as a mechanism focusing on pilot outcomes, adoption metrics, and alignment with trustworthy AI criteria to produce case studies, periodic updates, and policy guidance. Conversely, the Estratégia Brasileira de Inteligência Artificial frames an observatory, citing OBIA as an example, as an evidence hub that aggregates and analyzes data on AI research alongside deployments and impacts, specifically directing these insights toward periodic evaluation, reporting, and policy adjustment.
Synthesised from the 2 statutory definitions below. Each one is quoted in full, with its source.
How jurisdictions differ
What is distinctive in each definition, binding law in force first.
| Jurisdiction | Instrument | Status | What is distinctive |
|---|---|---|---|
| Brazil | Brazilian Strategy for Artificial Intelligence | In Force (Amended) | This definition adds emphasis on being an evidence hub like OBIA for AI research, deployments, and impacts to enable policy adjustment, unlike the other which focuses on case studies and trustworthy AI alignment. |
| Belgium | AI4Belgium (Belgian national AI coalition / roadmap) | Adopted | This definition widens scope to include case studies and alignment with trustworthy AI criteria alongside indicators and updates on AI uptake and impacts, unlike the other which prioritizes research data and policy adjustment. |
Definitions (2)
A monitoring mechanism producing indicators, case studies and periodic updates on AI uptake and impacts (the AI4Belgium Observatory), used to collect adoption metrics, pilot outcomes and alignment with trustworthy AI criteria to inform policy and guidance.
An observatory refers to a monitoring platform and evidence hub (for example OBIA) intended to collect, aggregate and analyze data, metrics and indicators on AI research, deployments and impacts to support periodic evaluation, reporting and policy adjustment.
Not to be confused with
AI Observatory refers to a national monitoring and analytics platform for AI, while observatory here denotes a broader monitoring mechanism or platform producing reports and indicators.
National Observatory for AI is a central monitoring body for AI implementation and indicators, whereas observatory encompasses platforms or mechanisms like evidence hubs or observatories producing periodic reports.
Questions and answers
What is the purpose of an observatory in Brazil's EBIA?
In Brazil's EBIA, an observatory serves as a monitoring platform and evidence hub to collect, aggregate, and analyze data on AI research, deployments, and impacts. It supports periodic evaluation, reporting, and policy adjustment.
How does Belgium's AI4Belgium use an observatory?
Belgium's AI4Belgium employs the observatory as a monitoring mechanism to produce indicators, case studies, and periodic updates on AI uptake and impacts. It collects adoption metrics, pilot outcomes, and alignment with trustworthy AI criteria to inform policy and guidance.
What distinguishes observatories in EBIA from AI4Belgium?
EBIA's observatory acts as an evidence hub focused on AI research, deployments, and policy adjustment, exemplified by OBIA. AI4Belgium's emphasizes case studies, trustworthy AI alignment, and informing guidance.
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