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NLRB Seeks End to Employers’ Use of 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.

Under the General Counsel’s proposed framework, an employer can avoid a violation of the Act if it can demonstrate that its business needs require the electronic monitoring and management practices and the practices “outweigh” employees’ Section 7 rights.  Not only must the employer be able to make this showing, it must also demonstrate that it provided the employees advance notice of the technology used, the reason for its use, and how it uses the information obtained.  An employer is relieved of this obligation, according to the General Counsel, only if it can show “special circumstances” justifying “covert use” of the technology.

In GC 23-02, the General Counsel signaled to NLRB Regions that they should scrutinize a broad range of “automated management” and “algorithmic management” technologies, defined as “a diverse set of technological tools and techniques to remotely manage workforces, relying on data collection and surveillance of workers to enable automated or semi-automated decision-making.”  Technologies subject to this scrutiny include those used during working time, such as wearable devices, security cameras, and radio-frequency identification badges that record workers’ conversations and track the movements of employees, GPS tracking devices and cameras that keep track of the productivity and location of employees who are out on the road, and computer software that takes screenshots, webcam photos, or audio recordings.  Also subject to scrutiny are technologies employers may use to track employees while they are off duty, such as employer-issued phones and wearable devices, and applications installed on employees’ personal devices.  Finally, the General Counsel noted that an employer that uses such technologies to hire employees, such as online cognitive assessments and reviews of social media, “pry into job applicants’ private lives.”  Thus, these pre-hire practices may also violate of the Act.  Technologies such as resume readers and other automated selection tools used during hiring and promotion may also be subject to GC 23-02.

GC 23-02 follows the wave of recent federal guidance from the White House, the Equal Employment Opportunity Commission, and local laws that attempt to define, regulate, and monitor the use of artificial intelligence in decision-making capacities.  Like these regulations and guidance, GC 23-02 raises more questions than it answers.  For example, GC 23-02 does not identify the standards for determining whether business needs “outweigh” employees’ Section 7 rights, or what constitutes “special circumstances” that an employer must show to avoid scrutiny under the Act.

While GC 23-02 sets forth the General Counsel’s proposal and thus is not legally binding, it does signal that there will likely be disputes in the future over artificial intelligence in the employment context.


©2022 Epstein Becker & Green, P.C. All rights reserved.
National Law Review, Volume XII, Number 322



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