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Happy Workers and Robots? DOL Guidance on AI and Well-Being

By Whitney J. Jackson & Anne R. Yuengert on November 12, 2024
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Happy Workers and Robots? DOL Guidance on AI and Well-Being

Table of Contents

  • The DOL’s Eight Principles for Responsible AI Use
  • 1. Centering Worker Empowerment
  • 2. Ethically Developing AI
  • 3. Establishing AI Governance and Human Oversight
  • 4. Ensuring Transparency in AI Use
  • 5. Protecting Labor and Employment Rights
  • 6. Using AI to Enable Workers
  • 7. Supporting Workers Impacted by AI
  • 8. Ensuring Responsible Use of Worker Data
  • Key Takeaways for Employers

The landscape of employment is undergoing a seismic shift as employers increasingly integrate technology, particularly artificial intelligence (AI), into workplace practices. AI workplace uses include a variety of applications, such as resume screening, employee monitoring software, and video interviewing tools that evaluate candidates’ performances. In light of this transformation, the United States Department of Labor (DOL) has issued new guidance, “Artificial Intelligence and Worker Well-Being: Principles and Best Practices for Developers and Employers.” While not legally binding, this guidance provides vital insights for employers seeking to responsibly implement AI in their decision-making processes.

Link to The DOL’s Eight Principles for Responsible AI Use The DOL’s Eight Principles for Responsible AI Use

In the new guidance, the DOL outlines eight key principles, each aimed at ensuring that the deployment of AI systems enhances worker empowerment, equity, and well-being.

Link to 1. Centering Worker Empowerment 1. Centering Worker Empowerment

The DOL emphasizes the importance of integrating feedback from workers. Employers are encouraged to involve employees, especially those from “underserved communities” in every phase of AI system development, from design to oversight. For unionized workplaces, good faith negotiations with employee representatives regarding AI and electronic monitoring are crucial.

Link to 2. Ethically Developing AI 2. Ethically Developing AI

The DOL advocates for the creation of AI systems that uphold civil rights and promote safety and equity. Developers should rigorously test AI models for accuracy, validity, and reliability to avoid biases. Furthermore, the guidance encourages developers to carry out impact assessments, develop systems that ensure human oversight, guarantee quality job opportunities for data reviewers, and create AI that generates results easily understood by non-technical users.

Link to 3. Establishing AI Governance and Human Oversight 3. Establishing AI Governance and Human Oversight

The DOL recommends that employers consider implementing governing structures that oversee AI implementation, ensuring that human oversight remains central to employment-related decisions. In other words, employers should not rely solely on AI when making significant employment decisions such as hiring, firing, and demoting an employee. The guidance also recommends regular independent audits of these AI systems to maintain accountability.

Link to 4. Ensuring Transparency in AI Use 4. Ensuring Transparency in AI Use

The DOL advises employers to notify workers about AI utilization in advance. Additionally, employers should establish procedures that allow workers to request, access, and amend their data used in employment-related decisions.

Link to 5. Protecting Labor and Employment Rights 5. Protecting Labor and Employment Rights

Just like any other workplace practice, AI systems should not jeopardize workers’ rights to organize or infringe upon protections related to health, safety, wages, and anti-discrimination. The DOL encourages employers to consider applicable laws (including, but not limited to, the Family and Medical Leave Act, Occupational Safety and Health Act, Fair Labor Standards Act, etc.) and regulations when implementing AI.

Link to 6. Using AI to Enable Workers 6. Using AI to Enable Workers

The DOL believes that AI should be utilized to support and enhance workers, thereby improving job quality (i.e., automating mundane tasks and therefore allowing workers to focus on more meaningful work). Employers should therefore consider conducting pilot programs for AI systems prior to widespread implementation and strive to limit invasive electronic monitoring.

Link to 7. Supporting Workers Impacted by AI 7. Supporting Workers Impacted by AI

When AI systems lead to changes in the workforce or worker displacement, employers must ensure that workers receive appropriate training to adapt to new technologies (i.e., hands-on practice with the new technology, video tutorials, etc.). The DOL believes that the retraining and reallocating of affected employees should be prioritized whenever possible.

Link to 8. Ensuring Responsible Use of Worker Data 8. Ensuring Responsible Use of Worker Data

The DOL urges developers to incorporate robust safeguards (i.e., firewalls, intrusion detection systems, etc.) to protect worker data from both internal and external threats. Furthermore, organizations should avoid collecting and retaining worker data that is unnecessary for legitimate business purposes.

Link to Key Takeaways for Employers Key Takeaways for Employers

While the DOL’s guidance is not legally binding, it offers important perspectives on how the DOL might enforce existing laws related to the use of the AI in the workplace. Employers should take this opportunity to look at the recommendations and consider incorporating these strategies into their policies and practices.

Tags: AI
Photo of Whitney J. Jackson Whitney J. Jackson

Whitney Jackson’s practice focuses on commercial litigation, employment, and intellectual property matters. Whitney earned her J.D. (cum laude) from the University of Mississippi School of Law, where she served as associate articles editor of the Mississippi Law Journal, senator of…

Whitney Jackson’s practice focuses on commercial litigation, employment, and intellectual property matters. Whitney earned her J.D. (cum laude) from the University of Mississippi School of Law, where she served as associate articles editor of the Mississippi Law Journal, senator of the Student Bar Association, and vice president of the Black Law Students Association. While in law school, Whitney interned with the legal departments of Fortune 500 companies, where she assisted senior management in researching and analyzing various legal compliance matters. Whitney also interned with the University of Mississippi’s Office of Technology Commercialization, where she assisted potential patent-applicants in prior-art searches and patent development. She earned her Bachelor of Science (magna cum laude) degree in Biochemistry from Alcorn State University.

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Photo of Anne R. Yuengert Anne R. Yuengert

Anne Yuengert works with clients to manage their employees, including conducting workplace investigations of harassment or theft, training employees and supervisors, consulting on reductions in force and severance agreements, drafting employment agreements (including enforceable noncompetes) and handbooks, assessing reasonable accommodations for disabilities, and…

Anne Yuengert works with clients to manage their employees, including conducting workplace investigations of harassment or theft, training employees and supervisors, consulting on reductions in force and severance agreements, drafting employment agreements (including enforceable noncompetes) and handbooks, assessing reasonable accommodations for disabilities, and working through issues surrounding FMLA and USERRA leave. When preventive measures are not enough, she handles EEOC charges, OFCCP and DOL complaints and investigations, and has handled cases before arbitrators, administrative law judges and federal and state court judges. She has tried more than 30 cases to verdict.

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  • Posted in:
    Employment & Labor, Technology and AI
  • Blog:
    Labor & Employment Insights
  • Organization:
    Bradley Arant Boult Cummings LLP
  • Article: View Original Source

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