Background of the Bill
As AI continues to improve and proliferate year after year, more employers are beginning to use the technology in the workplace. In January 2023, EEOC Chair Charlotte Burrows reported that “83% of employers” and “99% of Fortune 500 companies” now rely on AI for employment decisions in some capacity. Data from previous EEOC reports show that those numbers continue to grow yearly since 2021. Specifically, automated decision systems in an employment context use data, machines, and algorithms to make automatic hiring, firing, promotion, and other employment decisions with varying degrees of human oversight or intervention. Such systems may involve computations, machine learning, statistical modeling, data analytics, or AI. Unfortunately, these automated decision systems, left unchecked, run the risk of discriminating against one or more protected classes. Earlier, senators in Pennsylvania and Hawaii released a two-page fact sheet on their proposed bill to regulate automated decision systems in the workplace.Proposed Bill to Regulate Automated Decision Systems
The proposed bill offers a similarly broad definition of automated decision systems. It includes systems that use computation, at least in part, to produce outcomes, make or aid in decision-making, inform policies, and collect data. Notably, the bill does not limit these systems to only those that specifically use machine learning or AI. However, the proposed bill would exclude “passive” systems that do not automatically influence decisions. The proposed legislation would cover employers “engaged in commerce or in any industry or activity affecting commerce who employ, or otherwise engage for the performance of work for remuneration, 11 or more covered individuals,” as well as specific government agencies. Protected individuals would include applicants, employees, and even independent contractors.Requirements Under the No Robot Bosses Act
If enacted, the proposed bill would mandate certain responsibilities for employers that use automated decision systems for candidate selection, interviewing, hiring, firing, scheduling, compensation, benefits, promotions, and discipline. In general, the proposed bill would prohibit employers from relying only on these systems in decision-making without human involvement. Among other requirements, the proposed legislation includes the following:- requirements for employers to train individuals who operate automated decision systems;
- whistleblower protections and prohibitions against retaliation for individuals that file a complaint under the law;
- invalidation of arbitration agreements with respect to AI discrimination claims; and
- required independent audits of automated decision systems and their decision outputs.