Algorithmic Transparency Registers

Algorithmic Transparency Registers are public databases where government agencies disclose information about the automated systems they employ to make or support decisions. These registers aim to increase transparency and accountability in the use of artificial intelligence (AI) within public administration.

Lack of transparency in the use of AI systems by government agencies, which can lead to mistrust and potential misuse of technology.

Government bodies submit standardized records that detail each system's purpose, data sources, algorithms used, and oversight mechanisms. This information is then published for public scrutiny and audit purposes.

• data
• records
• algorithmic systems

Not applicable as this technology involves data collection and disclosure rather than physical manufacturing processes.

The build process includes developing a standardized format for record submission, setting up a secure digital platform for storage and publication, and establishing guidelines for ongoing updates and corrections.

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Algorithmic Transparency Registers

Public databases where government agencies disclose information about their use of automated decision-making systems.

Standardized records

Uniformly formatted documents submitted by government bodies detailing the purpose, data sources, and oversight mechanisms of AI systems.

Oversight mechanisms

Processes and procedures designed to monitor and ensure ethical use and accuracy of AI systems in public administration.

Verify against primary sources only.

Source: curated technology intelligence stream with tracked references.