Workforce Bulletin

Since the dawn of digitalization, the collection and retention of personal and other business confidential data by employers has implicated security and privacy challenges—by amassing a treasure trove of data for bad actors (or unwitting/unauthorized employees) and drawing a roadmap for those seeking to breach the system. Adding artificial intelligence (AI) into the mix creates further areas of concern. A recent survey undertaken by the Society of Human Resource Management of more than 2000 human resources professionals indicates that AI is being utilized by the majority of ...

A recent decision from the Northern District of Illinois highlights new legal hurdles for employers using AI-powered video interview technologies under Illinois’ Biometric Information Privacy Act (BIPA), 740 ILCS 14/15.  In Deyerler v. HireVue, initially filed over two years ago in January 2022, a class of plaintiffs alleged that HireVue’s AI-powered facial expression and screening technology violated BIPA.  According to the complaint, HireVue collected, used, disclosed, and profited from “biometric identifiers” without complying with the requirements of BIPA.  ...

On December 11, 2023, the City of San Francisco released the San Francisco Generative AI Guidelines (“Guidelines”).  The Guidelines set forth parameters for City employees, contractors, consultants, volunteers, and vendors who use generative artificial intelligence (AI) tools to perform work on behalf of the City.

Specifically, the Guidelines encourage City employees, contractors, consultants, volunteers, and vendors to use generative AI tools for purposes such as preparing initial drafts of documents, “translating” text into levels of formality or for a ...

As the implementation and integration of artificial intelligence and machine learning tools (AI) continue to affect nearly every industry, concerns over AI’s potentially discriminatory effects in the use of these tools continue to grow. The need for ethical, trustworthy, explainable, and transparent AI systems is gaining momentum and recognition among state and local regulatory agencies—and the insurance industry has not escaped their notice.

On January 17, 2024, the New York State Department of Financial Services (“NYSDFS”) took a further step towards imposing ...

As featured in #WorkforceWednesday: This week, we’re detailing the National Labor Relations Board’s (NLRB’s) expanded “joint employer” definition, the recent confirmations of the Equal Employment Opportunity Commission’s (EEOC’s) General Counsel and the Department of Labor’s (DOL’s) Wage and Hour Administrator, and President Biden’s executive order on artificial intelligence (AI).

NLRB Expands Definition of “Joint Employer" 

The NLRB recently published its long-awaited final rule, setting a new test for determining joint-employer ...

On October 30, 2023, President Joe Biden signed his Executive Order on the Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence (AI EO), which addresses artificial intelligence issues, including safety, security, privacy, civil rights, immigration, and health care.  The White House also released a companion Fact Sheet summarizing the AI EO (the “Fact Sheet”).  Later in the week, on November 1, 2023, the White House announced that the Office of Management and Budget will release for comment a new draft policy on Advancing Governance, Innovation, and ...

While recent public attention has largely focused on generative artificial intelligence (AI), the use of AI for recruitment and promotion screening in the employment context is already widespread.  It can help HR-professionals make sense of data as the job posting and application process is increasingly conducted online. According to a survey conducted by the Society for Human Resource Management (SHRM),[1] nearly one in four organizations use automation and/or AI to support HR-related activities, such as recruitment, hiring, and promotion decisions, and that number is posed ...

As featured in #WorkforceWednesday:  This week, we’re analyzing the National Labor Relations Board’s (NLRB’s) recent Stericycle decision, the Equal Employment Opportunity Commission’s (EEOC’s) proposed rule on pregnant workers’ rights, and the EEOC’s first-ever artificial intelligence (AI) anti-discrimination lawsuit settlement.

On August 9, 2023, the U.S. Equal Employment Opportunity Commission (“EEOC”) and iTutorGroup, Inc. and related companies (collectively, “iTutorGroup”) filed a joint notice of settlement  and a request for approval and execution of a consent decree, effectively settling claims that the EEOC brought last year against iTutorGroup regarding its application software.  The EEOC claimed in its lawsuit that iTutorGroup violated the Age Discrimination in Employment Act (“ADEA”) by programming its application software to automatically reject hundreds of female applicants age 55 or older and male applicants age 60 or older.

After releasing an initial two-page “fact sheet,” Congress publicly posted the bill text of the No Robot Bosses Act (the “Proposed Act”), detailing proposed federal guardrails for use of automated decision-making systems in the employment context. Robert Casey (D-PA), Brian Schatz (D-HI), John Fetterman (D-PA), and Bernie Sanders (I-VT) currently cosponsor the Proposed Act.

On July 20, 2023, U.S. Senators Bob Casey (D-PA) and Brian Schatz (D-HI) introduced the “No Robot Bosses Act.”  Other than bringing to mind a catchy title for a dystopic science fiction novel, the bill aims to regulate the use of “automated decision systems” throughout the employment life cycle and, as such, appears broader in scope than the New York City’s Local Law 144 of 2021, about which we have previously written, and which New York City recently began enforcing. Although the text of the proposed federal legislation has not yet been widely circulated, a two-page fact sheet released by the sponsoring Senators outlines the bill’s pertinent provisions regarding an employer’s use of automated decision systems affecting employees and would:

On Thursday May 4, 2023, the Biden-Harris Administration announced its plan to implement artificial intelligence (“AI”) safeguards to “protect people’s rights and safety.” 

Given the rapid development of AI in workplaces, public health, education, and security, the Administration seeks to underscore related risks and opportunities.  Vice President Kamala Harris and senior Administration officials have met with leaders at the forefront of AI innovation to call attention to “responsible, trustworthy, and ethical innovation with safeguards that mitigate risk and potential harms to individuals and our society.”

On January 26, 2023, the National Institute of Standards and Technology (“NIST”) released guidance entitled Artificial Intelligence Risk Management Framework (AI RMF 1.0) (the “AI RMF”), intended to help organizations and individuals in the design, development, deployment, and use of AI systems. The AI RMF, like the White House’s recently published Blueprint for an AI Bill of Rights, is not legally binding. Nevertheless, as state and local regulators begin enforcing rules governing the use of AI systems, industry professionals will likely turn to NIST’s voluntary guidance when performing risk assessments of AI systems, negotiating contracts with vendors, performing audits on AI systems, and monitoring the use AI systems.

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.

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”).

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.

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.

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 and local laws banning inquiries into, or the use of, prior salary history in setting pay.  Yet, compensation bias and discrimination still exist and continue to be the subject of ...

In a recent Bloomberg Law article, we reported on legislative developments regulating the use of artificial intelligence (“AI”) in employment law decisions.  On May 11, 2020, one of the pieces of proposed legislation we discussed, Maryland’s H.B. 1202, became law without Governor Larry Hogan’s signature.  As we reported, H.B. 1202 prohibits employers from using facial recognition technology during pre-employment job interviews without the applicant’s consent.  To use facial recognition services in interviewing employees, an employer must obtain an applicant’s ...

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 the FTC to investigate the recruiting technology company HireVue for alleged discriminatory screening of job applicants through its face-scanning software. HireVue asks job applicants to ...

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.  A recently updated Frequently Asked Questions (“FAQ”) from the Office of Federal Contract Compliance Programs (“OFCCP”) provides further ...

Increasingly companies are using third-party digital hiring platforms to recruit and select job applicants.  These products, explicitly or implicitly, promise to reduce or eliminate the bias of hiring managers in making selection decisions.  Instead, the platforms grade applicants based on a variety of purportedly objective factors.  For example, a platform may scan thousands of resumes and select applicants based on education level, work experience, or interests, or rank applicants based on their performance on an aptitude test – whatever data point(s) the platform has been ...

A recent WSJ article about a private equity firm using AI to source investment opportunities by Laura Cooper presages a larger challenge facing employees and employers: AI tools do “the work of ‘several dozen humans’” “with greater accuracy and at lower cost.”  In the competitive and employee-dense financial services sector, AI tools can provide a competitive advantage.

Ms. Cooper cites San Francisco based Pilot Growth Equity Partners, one of many of a growing number of equity investment firms to utilize AI. Pilot Growth that has developed “NavPod’ a cloud based ...

Please join Nathaniel M. Glasser, Elizabeth K. McManus, Jeremy M. Brown, and Joshua A. Stein for an engaging and informative discussion of topical labor and employment issues facing all retailers. The presenters will address cutting-edge employment matters and share best practices in a private forum in which all attendees can freely participate, exchange insights, and network with colleagues.

Topics will include:

Artificial Intelligence for Recruiting and Selection
We will discuss the legal and practical implications of the various types of artificial intelligence (AI ...

There is a visceral and palpable dynamic emerging in global workplaces: tension.

Tension between what is potentially knowable—and what is actually known.   Tension between the present and the future state of work.  Tension between what was, is, and what might become (and when).  Tension between the nature, function, and limits of data and technology.

The present-future of work is being shaped daily, dynamically, and profoundly by a host of factors—led by the exponential proliferation of data, new technologies, and artificial intelligence (“AI”)—whose impact cannot be understated.  Modern employers have access to an unprecedented amount of data impacting their workforce, from data concerning the trends and patterns in employee behaviors and data concerning the people analytics used in hiring, compensation, and employee benefits, to data that analyzes the composition of the employee workforce itself.  To be sure, AI will continue to disrupt how virtually every employer views its human capital model on an enterprise basis. On a micro level, employers are already analyzing which functions or groups of roles might be automated, augmented, or better aligned to meet their future business models.

And, yet, there is an equal, counterbalancing force at play—the increased demand for accountability, transparency, civility, and equity.  We have already seen this force playing out in real time, most notably in the #MeToo, pay equity, and data privacy and security movements.  We expect that these movements and trends will continue to gain traction and momentum in litigation, regulation, and international conversation into 2019 and beyond.

We have invited Epstein Becker Green attorneys from our Technology, Media & Telecommunications (“TMT”) service team to reflect and opine on the most significant developments of the year.  In each, we endeavor to provide practical insights to enable employers to think strategically through these emergent tensions and business realities—to continue to deliver value to their organizations and safeguard their goodwill and reputation.

This extended interview from Employment Law This Week will be of interest to many of our readers. Attorney and co-editor of this blog, Michelle Capezza explains how recent legal developments have prepared employers for their future workforce, which will include artificial intelligence technologies working alongside human employees. She also looks at the strategies employers should start to consider as artificial intelligence is incorporated into the workplace.