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.
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.
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