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What is NYC AC § 20-870?

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This section provides definitions for terms related to automated employment decision tools, bias audits, and employment decisions within the context of employment practices. It outlines the criteria and implications of these terms as they pertain to employment decisions impacting individuals. Applies to employers utilizing automated tools in hiring processes.

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§ 20-870 Definitions.

AC § 20-870

For the purposes of this subchapter, the following terms have the following meanings: Automated employment decision tool. The term "automated employment decision tool" means any computational process, derived from machine learning, statistical modeling, data analytics, or artificial intelligence, that issues simplified output, including a score, classification, or recommendation, that is used to substantially assist or replace discretionary decision making for making employment decisions that impact natural persons. The term "automated employment decision tool" does not include a tool that does not automate, support, substantially assist or replace discretionary decision-making processes and that does not materially impact natural persons, including, but not limited to, a junk email filter, firewall, antivirus software, calculator, spreadsheet, database, data set, or other compilation of data. Bias audit. The term "bias audit" means an impartial evaluation by an independent auditor. Such bias audit shall include but not be limited to the testing of an automated employment decision tool to assess the tool's disparate impact on persons of any component 1 category required to be reported by employers pursuant to subsection (c) of section 2000e-8 of title 42 of the United States code as specified in part 1602.7 of title 29 of the code of federal regulations. Employment decision. The term "employment decision" means to screen candidates for employment or employees for promotion within the city. (L.L. 2021/144, 12/11/2021, eff. 1/1/2023)

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