Artificial Intelligence

On October 31, 2022, the General Counsel of the National Labor Relations Board (“NLRB” or “Board”) released Memorandum GC 23-02 urging the Board to interpret existing Board law to adopt a new legal framework to find electronic monitoring and automated or algorithmic management practices illegal if such monitoring or management practices interfere with protected activities under Section 7 of the National Labor Relations Act (“Act”).  The Board’s General Counsel stated in the Memorandum that “[c]lose, constant surveillance and management through electronic means threaten employees’ basic ability to exercise their rights,” and urged the Board to find that an employer violates the Act where the employer’s electronic monitoring and management practices, when viewed as a whole, would tend to “interfere with or prevent a reasonable employee from engaging in activity protected by the Act.”  Given that position, it appears that the General Counsel believes that nearly all electronic monitoring and automated or algorithmic management practices violate the Act.

Continue Reading NLRB General Counsel Seeks to Limit Employers’ Use of Artificial Intelligence in the Workplace, Following the Recent Regulatory Trends

On Tuesday October 4, 2022, the White House Office of Science and Technology Policy (“OSTP”) released a document entitled “Blueprint for an AI Bill of Rights: Making Automated Systems Work for the American People” (the “Blueprint”) together with a companion document “From Principles to Practice: A Technical Companion to the Blueprint for an AI Bill of Rights” (the “Technical Companion”).

Continue Reading The White House Releases “Blueprint for an AI Bill of Rights: Making Automated Systems Work for the American People”

On Friday, September 23, 2022, the New York City Department of Consumer and Worker Protection (“DCWP”) released a Notice of Public Hearing and Opportunity to Comment on Proposed Rules related to its Automated Employment Decision Tool law (the “AEDT Law”), which goes into effect on January 1, 2023. As we previously wrote, the City passed the AEDT Law to regulate employers’ use of automated employment decision tools, with the aim of curbing bias in hiring and promotions; as written, however, it contains many ambiguities, which has left covered employers with open questions about compliance.

Continue Reading NYC Issues Proposed Rules for Its Automated Employment Decision Tools Law

As featured in #WorkforceWednesdayThis week, we focus on compliance and transparency when using artificial intelligence (AI) tools in employment decision-making.

Continue Reading Video: AI Technology Regulations, Transparency in AI, OSHA’s Permanent COVID-19 Standard – Employment Law This Week

Prompted by the widespread adoption and use of video-conferencing software following the COVID-19 pandemic, many employers have shifted toward video interviews to evaluate potential hires. Even as employers have begun to require in-office attendance, the widespread use of video interviewing has continued, because it is a convenient and efficient way to evaluate applicants. Some of the video interviewing tools used by employers incorporate the use of artificial intelligence (AI) in an effort to maximize the effectiveness of the interview process. Often, employers contract with third-party vendors to provide these AI-powered interviewing tools, as well as other tech-enhanced selection procedures.

Continue Reading What Principles of Explainability and Transparency Should an Employer Consider When Using Video Interviewing and Similar Automated Hiring Tools?

Recruiting qualified applicants and hiring top talent have always been time-consuming endeavors that come with constant worry about making a wrong hire. Added to this, the COVID-19 pandemic effectively put a halt to employers’ ability to evaluate applicants in-person. These factors, and others, have led many employers to adopt or to, consider adopting, artificial intelligence (AI) tools to optimize recruitment by introducing efficiencies, reaching a broader pool of applicants, increasing consistency and uniformity in the evaluation of applicants, and, in some cases, helping employers meet diversity, equity, and inclusion goals. Typically, employers opting to use AI, contract with third-party vendors that offer AI-powered algorithms, which perform a variety of functions, such as cognitive assessments, personality tests, and video interviews.

Continue Reading Hiring by Algorithm: Legal Issues Presented by the Use of Artificial Intelligence in Sourcing and Selection

A critical component of a successful employer-employee relationship is the employer’s fair and equitable treatment of employees, often embodied in the employer’s employee engagement, retention, and compensation practices.  When it comes to compensation, U.S. employers must comply with federal and applicable state equal pay laws that prohibit discriminatory pay practices, and a myriad of state

As we have previously blogged, use of third-party digital hiring platforms to select job applicants using video interviews can present an array of potential legal issues. A recent Complaint filed with the Federal Trade Commission (“FTC”) by a consumer advocacy organization, Electronic Privacy Information Center (“EPIC”), illustrates some of those potential pitfalls. EPIC asks

We have long counseled employers using or contemplating using artificial intelligence (“AI”) algorithms in their employee selection processes to validate the AI-based selection procedure using an appropriate validation strategy approved by the Uniform Guidelines on Employee Selection Procedures (“Uniform Guidelines”).  Our advice has been primarily based on minimizing legal risk and complying with best practices. 

This edition of Take 5 highlights compliance with cutting-edge issues—such as pay equity, workplace violence, and artificial intelligence (“AI”)—that have a significant impact on retailers. We also provide an update on National Labor Relations Act (“NLRA”) compliance and New York City drug testing to assist you in navigating an increasingly complex legal landscape.

Watercooler (and