New Jersey 2022 2022-2023 Regular Session

New Jersey Assembly Bill A1720 Comm Sub / Analysis

                    SENATE LAW AND PUBLIC SAFETY COMMITTEE 
 
STATEMENT TO  
 
ASSEMBLY, No. 1720  
 
with committee amendments 
 
STATE OF NEW JERSEY 
 
DATED:  MAY 19, 2022 
 
 The Senate Law and Public Safety Committee reports favorably 
and with committee amendments Assembly Bill No. 1720. 
 As amended and reported by the committee, this bill requires the 
Police Training Commission in the Division of Criminal Justice in the 
Department of Law and Public Safety to include cultural diversity and 
implicit bias training in the basic training course for police officers 
appointed to a police department or force.   
 Current law requires the Department of Law and Public Safety to 
develop or identify a uniform cultural diversity and implicit bias 
training course, including an on-line tutorial, which includes 
instruction promoting positive interaction with all members residing in 
the community, regardless of their race, ethnicity, religion, or sexual 
orientation. The training course is available to every State, county, 
municipal, and campus police department or force for in-service 
training of its officers.  This bill would require this cultural diversity 
and implicit bias training to be administered to police officers during 
their mandated basic training. The bill defines “implicit bias” as 
having attitudes towards people or associating stereotypes with them 
without conscious knowledge.   
 Finally, the bill requires instructors at basic training academies for 
police officers to receive specialized training in cultural diversity and 
implicit bias in policing. 
 As reported by the committee, Assembly Bill No. 1720 is identical 
to Senate Bill No. 2072 which also was reported to the committee on 
this date. 
 
COMMITTEE AMENDMENTS 
 The committee amendments make the bill consistent with current 
law, which requires the Department of Law and Public Safety to 
develop or identify training course materials concerning implicit bias.