Algorithmic Tools Compliance Report

jaw4-yuemCity Government27 columns

"This is an annual report on algorithmic tools used by City agencies, collected under Local Law 35 of 2022 (LL 35). It includes descriptions of the tool's use and purpose, datasets used, and vendor involvement. The report is also published as a PDF on the OTI website: https://www.nyc.gov/content/oti/pages/reports. The full text of LL 35 is available online: https://legistar.council.nyc.gov/LegislationDetail.aspx?ID=4265421&GUID=FBA29B34-9266-4B52-B438-A772D81B1CB5 An "algorithmic tool" is defined by the law as: "Any technology or computerized process that is derived from machine learning, artificial intelligence, predictive analytics, or other similar methods of data analysis, that is used to make or assist in making decisions about and implementing policies that materially impact the rights, liberties, benefits, safety or interests of the public, including their access to available city services and resources for which they may be eligible. Such term includes, but is not limited to tools that analyze datasets to generate risk scores, make predictions about behavior, or develop classifications or categories that determine what resources are allocated to particular groups or individuals, but does not include tools used for basic computerized processes, such as calculators, spellcheck tools, autocorrect functions, spreadsheets, electronic communications, or any tool that relates only to internal management affairs such as ordering office supplies or processing payments, and does not materially affect the rights, liberties, benefits, safety or interests of the public."

View on NYC Open Data

Quality

A96.1 / 100

From a 218-row sample across 27 columns.

completeness100/ 25% weight

consistency98/ 20% weight

accuracy100/ 20% weight

timeliness83/ 15% weight

usability95/ 20% weight

Related datasets

NYC Historical Vital Records: Index to Digitized Birth Certificates0.31
joins onyear
NYC Citywide Annualized Calendar Sales Update0.31
City Council Discretionary Funding0.30
joins onagency
Self Hauler Registrants0.29
Trade Waste Hauler Licensees0.29
City Council Constituent Services (2015 to 2025)0.29
Greenbook0.29

Sample rows

year	agency	department	tool_name	date_first_use	updated	purpose_type	computation_type	autonomy	frequency	population_type	population_type_individual
2025	Administration for Children's Services	Division of Policy, Planning, and Analysis	Accelerated Safety Analysis Protocol (ASAP) Tool	2018/05	Yes	Performance evaluation	Ranking	Informative	Daily	Individuals	NA

Columns

27 queryable · 27 profiled

The machine field names SoQL needs, with the publisher's own description of each.

Field	Type	Description	Null	Values
`year`	categorical	Reporting Year	0%	`202520242023`of 4
`agency`	text	Agency name or abbreviation	0%	`Department of Health and…Mayor's OfficeNYC Public Schools`
`department`	text	Reporting department or office name	0%	`NADisease Control - Public…Division of Instructiona…`
`tool_name`	text	Tool name	0%	`Facial Recognition Techn…`

Query this from your own app

GET /api/datasets/jaw4-yuem
GET /api/datasets/jaw4-yuem/quality
GET /api/datasets/jaw4-yuem/related
GET /api/columns?dataset=jaw4-yuem