New York City Agency Algorithmic Tool Compliance Reports

City of New York agencies annually report on their use of algorithmic tools as mandated by Local Law 35 of 2022. The reports describe each tool's purpose, datasets used, and vendor involvement. The data is published in multiple machine-readable formats including XML, CSV, RDF, and JSON.

Use Cases

• Analyze the stated purpose of each algorithmic tool to map common application areas across city agencies.
• Identify vendor involvement patterns to understand the procurement landscape for automated decision systems.
• Extract and categorize the datasets used by different tools to audit data dependencies in public sector AI.

Strengths

• Reports are mandated by a specific city law (Local Law 35 of 2022), ensuring a formal collection process.
• Data is provided in four structured formats (XML, CSV, RDF, JSON) for flexible access.
• The dataset was last updated in July 2025, indicating recent maintenance.

Limitations

• The specific number of reports (rows) and detailed data fields (columns) are not documented.
• Content is based on self-reported agency disclosures, which may have inconsistencies or omissions.
• The legal definition of 'algorithmic tool' excludes many basic computerized processes, limiting scope.

Provenance

Source

City of New York, Office of Technology and Innovation (OTI)

Collection Method

Annual self-reported disclosures from city agencies as required by law.

Time Range

Reports are filed annually; specific coverage period is not stated.

Freshness

Updated annually, with the latest record from July 2025.

Geography

New York City, USA