AI Use in the Workplace: Managing Risk
Artificial intelligence (AI) tools, particularly generative AI, are increasingly integrated into the workplace, often driven by informal adoption by individual employees rather than through strategic enterprise-level decisions. Despite the absence of comprehensive regulations, AI-assisted work has become commonplace for many employers, frequently without formal oversight or documentation.
The Evolving Legal Landscape
The legal framework surrounding workplace AI is rapidly changing, which adds to the complexity of its use. In 2025, the Trump Administration issued an executive order that reversed previous federal AI guidance, while the EEOC removed technical assistance materials addressing AI bias and discrimination. Concurrently, multiple states, including Colorado, Illinois, Texas, and California, have enacted AI-specific employment laws, creating a patchwork of regulations. This divergence heightens uncertainty for employers regarding accountability for AI-assisted employment decisions.
Common Uses of AI in the Workplace
Across various industries, AI tools are used to assist with both routine and substantive tasks. Common applications include:
- Drafting written communications, policies, and performance documentation
- Screening and summarizing job applications and resumes
- Preparing evaluation materials and generating training content
- Assisting with disciplinary or termination documentation
However, many organizations utilize these tools without coordination with legal, human resources, or IT departments, which can introduce significant risks.
Key Employment-Related Risk Areas
Unmanaged AI usage in the workplace can raise several legal and operational risks, particularly when AI outputs influence employment decisions. Key areas of concern include:
Data Privacy and Confidentiality
Employees may input sensitive data into AI tools, such as employee and applicant information, compensation details, and confidential business data. Depending on the tool’s configuration, this information may be retained and processed in ways that are not transparent to the employer, increasing privacy and compliance risks.
Hiring, Promotion, and Disciplinary Decisions
AI-assisted evaluations in hiring and promotion can raise issues of bias and documentation accuracy. Risks are magnified when AI tools influence critical employment decisions without clear standards, transparency in inputs, or human review.
Accuracy and Reliability of AI-Generated Content
AI outputs can be inaccurate, including instances where AI generates plausible-sounding but incorrect information. Employers relying on such content without human verification may find themselves unable to defend the accuracy of their decisions, significantly increasing litigation risk.
Litigation and Discovery Considerations
The use of AI complicates discovery obligations and litigation exposure. Employers may need to explain how AI was used in employment decisions, provide prompts or inputs, and demonstrate the extent of human oversight. Inadequate documentation can be damaging during legal disputes.
Governance Gap in AI Use
A noticeable governance gap exists in organizations concerning AI use. Employees often use generative AI tools without approval or training, leading to inconsistent practices and a lack of clarity about acceptable use. The absence of clear accountability and documentation becomes evident only when defending employment decisions that involve AI.
Elements of an Effective AI Usage Policy
A well-structured AI usage policy can serve multiple risk-management functions, including:
- Defining acceptable uses of AI tools
- Establishing accountability for AI-assisted outputs
- Documenting AI usage for potential legal defenses
Effective policies should clarify the scope of AI tools, specify permissible and prohibited uses, limit the types of data entered into AI systems, and mandate human review of AI outputs.
Steps Employers Should Consider
Employers can take several immediate steps to mitigate risks associated with AI:
- Identify how AI tools are currently being utilized within the organization
- Adopt baseline policy guidance defining permissible uses
- Provide targeted training for HR personnel and managers
- Review processes for hiring, promotion, and performance management
Looking Ahead
As AI tools continue to evolve, so will the legal and regulatory landscape governing their use in the workplace. Employers who adopt a proactive approach focused on governance, accountability, and training will be better positioned to navigate future challenges.
