New York A 9638: Makes the provisions of the safe haven law applicable to children up to sixteen years of age
Status: REFERRED TO CODES (as of 2020-01-29)
State: New York · Session: 2019-2020 · Bill: A 9638
Sponsors: SOLAGES
Bill Text
Bill Search and Legislative Information | New York State Assembly • • • • • • • • Skip to main content New York State Assembly Speaker Carl E. Heastie --> --> --> • Assembly Members • Legislative Info • Public Hearings • Speaker's Press • Assembly Reports • Committees & More • Bill Search Home • Laws • Legislative Calendar • Public Hearing Schedule • Assembly Calendars • Assembly Committee Agenda Javascript must be enabled to properly view this page. Bill No.: • Summary • Actions • Committee Votes • Floor Votes • Memo • Text • LFIN • Chamber Video/Transcript A09638 Summary: BILL NOA09638   SAME ASSAME AS S09132   SPONSORGallagher   COSPNSRRosenthal, Lee, Forrest, Ramos, Valdez   MLTSPNSR   Add §194-c, Lab L   Prohibits the use of a wage-fixing algorithm in combination with personal or behavioral data to set or recommend wages or compensation; defines terms; establishes penalties for violations of such prohibition. Go to top A09638 Actions: BILL NOA09638   01/21/2026referred to labor Go to topA09638 Committee Votes: Go to topA09638 Floor Votes: There are no Assembly votes for this bill in this legislative session. Go to topA09638 Text: STATE OF NEW YORK ________________________________________________________________________ 9638 IN ASSEMBLY January 21, 2026 ___________ Introduced by M. of A. GALLAGHER -- read once and referred to the Committee on Labor AN ACT to amend the labor law, in relation to prohibiting surveillance wages The People of the State of New York, represented in Senate and Assem- bly, do enact as follows: 1 Section 1. The labor law is amended by adding a new section 194-c to 2 read as follows: 3 § 194-c. Surveillance wages prohibited. 1. Definitions. For the 4 purposes of this section, the following terms shall have the following 5 meanings: 6 a. "Wage-fixing algorithm" means a mathematical or computational proc- 7 ess or methodology implementing a set of rules, including without limi- 8 tation data collected and used in conjunction with any such processes or 9 methodologies, to be followed in calculations, data processing, data 10 mining, machine learning, pattern recognition, automated decision-making 11 or problem-solving operations, including those that transform inputs 12 into outputs, utilized for the purpose of setting or recommending wages 13 or compensation for an individual or a class or group to whom an indi- 14 vidual belongs. 15 "Wage-fixing algorithm" shall not include any such tool whose inputs 16 are limited to job requirements, job performance, qualifications, labor 17 market conditions, or the cost of living in an applicable metropolitan 18 statistical area, micropolitan statistical area, combined statistical 19 area, county or county equivalent. For the purposes of this section, 20 "job performance" shall not include customer reviews. 21 b. "Personal data" means any data that identifies, relates to, 22 describes, is reasonably capable of being associated with, or could be 23 reasonably linked, directly or indirectly, with a particular person or 24 device, including but not limited to: 25 (i) name or alias, signature, social security number, postal address, 26 telephone number, passport number, driver's license or state identifica- 27 tion card number, insurance policy number, email address, Internet 28 Protocol address, account name, or other similar identifiers; EXPLANATION--Matter in italics (underscored) is new; matter in brackets [ ] is old law to be omitted. LBD14494-02-6 A. 9638 2 1 (ii) bank account number, credit card number, debit card number, cred- 2 it score or credit history, financial circumstances, or any other finan- 3 cial information, medical information, or health insurance information; 4 (iii) records of personal property, products or services purchased, 5 obtained, or considered, or other purchasing or consuming histories or 6 tendencies; 7 (iv) personal, political, professional, or religious affiliations, 8 memberships, relationships, or activities, or status, activity, or 9 relationships within a social media network, or any other associations 10 with a group, band, class, or tier of individuals to which the individ- 11 ual belongs; 12 (v) internet or other electronic network activity information, includ- 13 ing browsing history, search history, and information regarding a 14 person's interaction with an internet website application or advertise- 15 ment; 16 (vi) characteristics of protected classifications under state or 17 federal law, geolocation identifiers, physical descriptions or charac- 18 teristics, genetic information, or biometric information; and 19 (vii) inferences drawn from any of the information identified in this 20 paragraph to create a profile about a person, or a class or group to 21 which such person belongs,
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