Creating a Workplace Artificial Intelligence Policy: Best Practices

Organizations must develop comprehensive workplace AI policies to govern the use of artificial intelligence technologies. AI systems analyze data through machine learning to generate predictions and decisions. This guidance focuses primarily on generative AI (GAI) — technology that creates new content like text, speech, and images in response to prompts. While GAI offers significant potential to enhance workplace productivity and efficiency, organizations need a workplace AI policy that aligns with their values, legal requirements, and ethical standards.

Whether your organization is just beginning to adopt AI tools or is already deep into deployment, a well-structured AI policy is no longer optional — it is a legal and operational necessity. GO LAW’s knowledge base covers related topics including employment law compliance and business governance frameworks that intersect with AI adoption decisions.

Overview of GAI in the Workplace

AI technology promises to streamline work processes and enhance daily operations. Specifically, generative AI (GAI) is revolutionizing workplaces by boosting productivity, sparking innovation, and delivering valuable business insights. Its impact extends across all business functions — from information access and content creation to decision-making and interpersonal communications.

Since OpenAI launched ChatGPT in November 2022, workplace adoption of GAI has accelerated rapidly. As with any emerging technology, responsible usage is paramount. While GAI presents significant opportunities to improve workplace efficiency and effectiveness, organizations must implement a formal AI use policy to guide adoption. Currently, employers leverage GAI for:

1. Developing workplace documentation like policies and job descriptions
2. Delivering employee training and engagement initiatives
3. Optimizing tasks including research and document preparation

Though GAI can enhance productivity and streamline operations, implementing these technologies adds complexity to organizational processes across operations, sales, manufacturing, and workforce management. Additionally, many jurisdictions now regulate AI usage through specific policy requirements. Therefore, organizations should seek appropriate legal, ethical, and regulatory guidance when deploying AI platforms in professional settings.

So, Where Should an Employer Begin?

Organizations should approach AI implementation in the workplace with careful deliberation and strategic planning. Rather than hastily adopting AI technologies to match competitors or enhance market appeal, employers must first identify specific operational needs that AI could meaningfully address. This requires conducting thorough research into available AI platforms and evaluating their capabilities against desired workplace functions.

When evaluating potential AI policy solutions, employers should assess whether the selected tools align with their intended use cases. A comprehensive generative AI policy framework helps ensure responsible adoption. Key considerations include:

• Understanding data requirements and format compatibility with existing systems
• Evaluating security protocols for protecting sensitive workplace information
• Assessing the AI vendor’s data protection capabilities and policies
• Reviewing user agreements and liability terms

For AI tools used in employment decisions like hiring, promotions, or terminations, employers must verify that the platforms have undergone bias testing. This involves examining whether seemingly neutral data points could inadvertently discriminate against protected groups based on characteristics like race, gender, or ethnicity. Organizations should request validation studies aligned with the 1978 Uniform Guidelines on Employee Selection Procedures to confirm the tools evaluate factors tied to legitimate business needs.

Additionally, before implementing any AI workplace policy, employers must proactively address potential liability concerns. This includes determining responsibility allocation if bias is discovered or sensitive data is compromised post-implementation. Organizations should engage AI providers in detailed discussions about liability coverage and carefully review associated user agreements.

The workplace AI policy should also outline protocols for:

• Regular auditing of AI tools for bias and fairness
• Ongoing assessment of data security measures
• Clear documentation of AI-assisted decision processes
• Employee training on appropriate AI usage
• Procedures for addressing AI-related concerns

By taking a methodical approach to AI adoption guided by comprehensive policies, organizations can maximize the benefits of these technologies while minimizing associated risks. Regular policy reviews and updates help ensure AI implementation remains aligned with organizational goals and compliance requirements.

While organizations may encounter additional considerations when implementing AI in the workplace, this overview focuses on key aspects that commonly impact employers. Different organizations will naturally have varying needs based on their specific circumstances and industry context. However, one universal constant is the rapidly expanding landscape of AI regulations affecting workplace operations.

As AI Evolves, So Does the Law

The regulatory framework governing workplace AI continues to evolve at a rapid pace. A notable example is Executive Order (EO) 14110, issued by President Biden in October 2023, which established guidelines for ensuring trustworthy AI implementation. This was followed by EO 14179 in January 2025 under President Trump, which emphasized reducing barriers to AI innovation while reversing key aspects of the previous order. For details on these developments, see 88 Fed. Reg. 75191 (Nov. 1, 2023) and 90 Fed. Reg. 8741 (Jan. 31, 2025).

For organizations working with federal contracts, the Office of Federal Contract Compliance Programs (OFCCP) has announced plans to evaluate all AI-driven decision-making tools for potential discriminatory impact. The agency emphasizes understanding how federal contractors utilize AI in their employment practices.

State Laws on the Use of AI in the Workplace

Various states and localities have enacted specific legislation governing workplace AI implementation, including New York’s Local Law 144, Colorado’s AI Act, and Illinois’ Artificial Intelligence Video Interview Act. Organizations operating across multiple states face a patchwork of compliance requirements that make a well-drafted, jurisdiction-aware AI policy essential.

NYC Local Law 144 (NYC 144)

NYC Local Law 144, which took effect on July 5, 2023, establishes comprehensive requirements for employers implementing AI-assisted employment decision tools. Under this law, organizations must conduct thorough assessments of their automated employment decision tools (AEDTs) when making key personnel decisions like hiring and promotions within New York City. The law mandates that employers develop a clear AI use framework governing these tools.

A critical component of NYC 144 requires employers to complete an independent bias audit within 12 months of implementing any AEDT system and make these audit findings publicly accessible. This aligns with broader workplace AI policy requirements focused on transparency and fairness. Additionally, employers must notify candidates when AI tools are being used in the evaluation process and provide options for alternative assessment methods or reasonable accommodations.

While AI technology can streamline recruitment processes, organizations must carefully navigate compliance with federal, state, and local regulations governing AI in employment. Non-compliance with NYC 144 carries significant penalties, with daily fines ranging from $500 to $1,500 per violation. Beyond financial implications, improper AI deployment may lead to unintended consequences such as reduced workforce diversity or biased hiring patterns.

A key concern centers on AI systems potentially identifying non-essential characteristics as significant factors, which could result in discriminatory hiring practices affecting protected classes. This underscores the importance of developing comprehensive AI policy guidelines that promote fair and equitable use of these technologies.

California

Starting October 1, 2025, organizations in California must adhere to new workplace AI regulations established by the California Civil Rights Council regarding automated decision-making systems in employment contexts. These regulations encompass any AI-driven computational processes that evaluate, screen, categorize, recommend, or make determinations affecting job applicants or current employees.

Under the new requirements, employers must preserve AI-related documentation for a four-year period, including system training data, evaluation criteria, and output records. Organizations must also notify individuals when AI tools are being utilized in employment-related decisions. Importantly, employers cannot rely exclusively on automated systems when making individualized assessments.

Colorado

Colorado exemplifies another state taking proactive steps to regulate AI in the workplace. Beginning February 1, 2026, employers must fulfill several key obligations under the Colorado AI Act (SB 24-205):

• Create and maintain a risk management strategy and program for high-risk AI systems
• Perform comprehensive impact evaluations of high-risk AI implementations
• Inform consumers about specific elements when high-risk systems make consumer-related decisions
• Publish an accessible statement outlining currently deployed high-risk system types
• Report any discovered algorithmic discrimination to the attorney general within 90 days

This groundbreaking legislation represents one of the first detailed state-level AI governance frameworks in the United States. Organizations operating in Colorado should thoroughly familiarize themselves with these requirements — particularly given that the 2026 implementation date is now current.

Illinois

Illinois implemented guidance effective January 1, 2020, governing employer use of AI in video interviews under the Artificial Intelligence Video Interview Act. The regulations mandate that employers inform candidates about AI implementation and obtain explicit consent before conducting AI analysis of recorded interviews. Organizations utilizing AI-assisted video interview analysis must conduct internal audits to verify system impartiality. Notably, employers must collect racial and ethnic demographic data from all position candidates and submit this information to the Illinois Department of Commerce and Economic Opportunity. The regulations also specify strict requirements regarding video storage, deletion timelines, and confidentiality maintenance.

New Jersey

The New Jersey Division of Civil Rights (DCR) recently issued clarifying guidance regarding the application of the New Jersey Law Against Discrimination (NJLAD) to workplace AI policy implementation. Effective January 2025, this guidance explicitly confirms that NJLAD prohibits discriminatory outcomes from AI and automated decision-making tools in employment contexts.

Under the guidance, organizations must ensure their AI policies prevent discrimination across multiple areas including employment, housing, public accommodations, credit decisions, and contracting. The DCR outlines three key scenarios where an AI use policy may violate NJLAD:

• When automated tools result in discriminatory treatment based on protected characteristics
• When AI systems create disparate impacts affecting protected groups
• When AI implementations prevent reasonable accommodation provisions

Importantly, organizations remain legally responsible for discriminatory outcomes even when utilizing third-party AI solutions. The DCR advises employers to implement comprehensive AI policy frameworks that include:

• Regular evaluation of AI systems during design phases
• Ongoing monitoring after deployment
• Documentation of testing procedures and results
• Periodic audits for potential bias

For organizations developing AI policy guidelines, key components should address:

• Clear definitions of AI technologies and approved use cases
• Required employee training protocols
• Data security and confidentiality requirements
• Procedures for verifying AI output accuracy
• Intellectual property considerations
• Bias monitoring mechanisms
• Internal governance structures
• Regular policy review and updates

While these elements provide a foundation, organizations must customize their AI policy based on specific operational needs and use cases. The DCR emphasizes that standardized approaches may not sufficiently address unique workplace dynamics and encourages employers to develop tailored policies.

Organizations have historically adopted various tools to automate manual processes. While many employers may not classify certain tools as artificial intelligence, some actually incorporate AI technology — yet most organizations lack a formal workplace AI policy to govern their usage. When establishing an AI use policy, organizations must clearly define the scope and parameters being addressed. Most contemporary workplace AI policies focus primarily on generative AI (GAI). While this targeted approach makes practical sense, the policy’s effectiveness depends on employees clearly understanding what GAI encompasses. Defining GAI in accessible, jargon-free terms — for example, referencing familiar tools like ChatGPT — is therefore essential.

Approved AI Platforms and Use

This section addresses internal governance frameworks for AI initiatives. As a first step, organizations should catalog existing AI platforms used across their operations and evaluate available market solutions. Following this assessment, employers must determine which platforms can enhance workplace productivity and efficiency. Organizations should then thoroughly evaluate selected tools for effectiveness, accuracy, and usability — enabling creation of an approved AI platform list while preventing employees from arbitrarily using any AI tool they discover. Based on this evaluation, organizations should specify approved use cases for each AI platform.

A comprehensive generative AI workplace policy should reference this approved list and detail how employees can access it. Additionally, effective policies must clearly outline both permitted and prohibited uses of approved platforms.

Drafting Your Organization’s AI Policy

As AI technology evolves, new platforms continuously emerge. Employees may discover novel AI tools unknown to the organization. In such cases, if an employee wishes to use an unapproved GAI technology, they must submit a formal request outlining the intended use, including purpose, scope, and business justification. The AI policy should explicitly state that employees cannot utilize unapproved technologies without prior organizational approval.

The policy should establish clear protocols for requesting new AI tool approvals while maintaining appropriate oversight of AI usage across the organization. This balanced approach allows for technological innovation while ensuring responsible AI adoption aligned with organizational objectives and compliance requirements.

As artificial intelligence technology rapidly evolves, organizations must balance innovation with responsible governance. Companies should avoid creating overly restrictive frameworks that could impede technological advancement — while still implementing structured processes allowing employees to propose new AI tools for evaluation and potential implementation.

Training Requirements

Given the swift pace of AI development, staying current with emerging platforms, capabilities, and applications presents an ongoing challenge. Organizations should mandate annual AI training programs for all employees using workplace AI tools. These training sessions should, at minimum:

• Review key workplace AI policy requirements
• Explore potential benefits and risks of AI applications
• Create forums for employees to propose new use cases
• Address questions and concerns about AI implementation
• Discuss updates to approved AI platforms and protocols

Before accessing any AI-enabled technology, employees must complete required training modules. Organizations may schedule additional training sessions annually or as significant AI developments emerge.

Importance of Confidentiality and Data Security

A comprehensive AI use policy must explicitly prohibit entering confidential information into any AI platform without explicit authorization. Unauthorized disclosure could expose sensitive data including:

• Trade secrets and intellectual property
• Personal identifying information
• Client confidential information
• Internal business processes
• Proprietary company data

Employees often mistakenly assume AI platforms provide complete anonymity. The generative AI workplace policy should emphasize that all information entered into AI tools could potentially become public or be attributed to the organization, regardless of selected privacy settings. Organizations must train employees to treat AI platforms as public forums where confidentiality cannot be guaranteed.

When utilizing AI platforms — even those previously vetted by the organization — employees should understand that they surrender control over entered information, including access permissions and potential usage. A workplace AI policy must emphasize that failing to monitor AI platform inputs can lead to significant consequences. To protect against inadvertent disclosure of sensitive information, organizations should establish robust data security protocols, including encryption standards, access restrictions, and data retention guidelines.

Organizations must ensure their AI policy includes comprehensive training on both approved AI applications and appropriate data input guidelines. An effective AI use policy should establish ongoing channels for employees to seek guidance about emerging questions related to AI platform usage in real-time situations.

Verifying AI Output Accuracy

Many AI platforms have demonstrated the capability to produce seemingly credible but ultimately fictitious results — commonly referred to as “hallucinations.” While the underlying causes remain complex, a workplace AI policy must require employees to independently verify any AI-generated output before reliance. Failure to validate AI results can lead to reputational damage or potential legal liability. Several high-profile incidents have highlighted the risks of unchecked reliance on AI hallucinations. This verification requirement becomes particularly challenging since AI outputs often appear highly convincing and authoritative. Despite widespread enthusiasm, current AI capabilities cannot fully replace human judgment and oversight. Until AI technology advances further, organizations must direct employees to validate all AI-generated content using independent verification sources.

Developing Organizational AI Guidelines

Beyond potential embarrassment and liability concerns, organizations must consider how overreliance on AI output could violate industry-specific regulations and professional standards. The AI workplace policy must specifically address compliance requirements unique to each sector — whether healthcare, finance, legal services, or otherwise.

Intellectual Property Considerations

A comprehensive workplace AI policy must address intellectual property (IP) rights protection. Organizations should recognize that employees may not fully understand how various documents fall under IP protection — and that these rights could belong to employers, clients, or external parties. When implementing an AI use policy that permits generative AI content creation, organizations must caution users against violating existing IP rights through AI platform usage.

Some organizations may explicitly prohibit uploading proprietary information into AI tools. For organizations that do permit AI-assisted content creation, the policy should provide clear guidelines on platform utilization while emphasizing thorough source verification. The policy must explicitly prohibit plagiarism and require transparency about AI’s role in content generation. Employees should understand that AI tools serve as ideation aids rather than substitutes for human expertise and judgment.

This represents a complex policy area requiring careful navigation. An effective AI policy must alert users to potential IP concerns while acknowledging that employees will likely need guidance in identifying protected materials. The policy should establish clear channels for obtaining assistance with IP-related questions.

Monitoring for Bias

Many organizations are exploring AI tools to enhance employment decisions like hiring and promotions. While AI can streamline these processes significantly, organizations must recognize that AI systems may contain inherent biases leading to potential discrimination claims and other serious issues. Though the workplace AI policy need not require users to directly assess AI bias, it should mandate reporting any planned use of AI in employment decisions to appropriate organizational stakeholders.

Organizations implementing an AI use policy must understand that AI systems often learn from limited data samples, potentially producing skewed or inaccurate results even without intentional bias. To address this risk, organizations can take several preventive steps: expanding the AI system’s training data to increase diversity, teaching employees to identify biased outputs, and conducting regular audits of AI platforms with legal department oversight to help ensure fair and unbiased results.

The policy should emphasize that while AI tools offer powerful capabilities, their outputs require careful human oversight to prevent unintended discrimination or bias. Organizations should establish clear protocols for monitoring AI systems and addressing any identified issues promptly.

Organizations must emphasize the importance of human oversight and judgment when implementing an AI use policy. Since AI platforms may generate biased, incomplete, or inaccurate results when encountering unfamiliar patterns, the policy should establish clear protocols for human verification. This is particularly crucial for talent acquisition and human resources functions utilizing AI tools for employment decisions regarding hiring, promotions, and terminations. The AI policy must specify which AI platforms are approved for such decisions and ensure proper employee training on their usage.

Beyond policy implementation, organizations have an obligation to monitor AI tools used in employee selection for potential bias. This monitoring process requires statistical analysis to identify any disparate impact, potentially necessitating tool validation under the Uniform Guidelines on Employee Selection Procedures.

Governance

Given AI’s rapid evolution, organizations must establish robust governance structures to address emerging challenges. This includes creating dedicated internal teams responsible for reviewing, evaluating, and approving AI tools. Another critical function involves tracking new laws and regulations to assess their impact on the organization’s AI infrastructure. Additionally, organizations must establish clear channels for handling internal inquiries, requests for new AI platform usage, and policy violation reports. Many organizations implement dedicated hotlines or email addresses specifically for AI-related matters.

When establishing these AI governance functions, organizations typically engage stakeholders from IT, legal, and compliance departments. Depending on specific AI applications, additional stakeholder involvement may be necessary. The AI workplace policy should clearly outline these governance structures and reporting mechanisms to ensure effective oversight and compliance.

Monitoring and Periodic Updates as AI Continues to Evolve

Organizations implementing an AI use policy should inform employees that they cannot expect privacy when using AI platforms, similar to established policies for telephones and email. This includes both information entered into AI systems and outputs generated from them. The workplace AI policy should explicitly state that it will undergo frequent updates as technology and regulations evolve, requiring users to review current guidelines before initiating any AI-related projects.

Various departments must stay informed about AI developments to maintain an effective AI policy. The legal team needs to track new AI-related regulations and legislation. IT departments should monitor technological advancements, while compliance teams must stay current on issues like data security protocols, record retention requirements, and government enforcement actions. Regular coordination between these departments ensures the AI policy remains relevant and responsive to industry trends.

Key Considerations for Business Owners

While AI integration in workplaces has become essential for maintaining competitiveness, organizations must carefully balance efficiency gains against potential risks and compliance requirements. Recent regulatory guidance confirms that proper implementation and oversight are critical factors for success.

Organizations should customize their workplace AI policy according to their specific needs and operations. What one business considers “covered” AI technology may differ from another company’s definition. There is no universal template for an AI use policy, as requirements vary based on individual business contexts and applications.

Business owners must also consider geographical implementation factors and relevant legal requirements when developing their AI policies. Regular assessment of federal, state, and local laws regarding AI tool usage and compliance is essential as this technology continues to evolve. With new legal and regulatory frameworks emerging across multiple jurisdictions, maintaining compliance can be challenging but remains crucial for risk management.

The complexity of navigating various regulations may seem daunting, but organizations cannot afford to ignore these requirements. A well-structured AI workplace policy helps ensure compliant adoption of AI technologies while protecting both the business and its employees. Regular policy reviews and updates demonstrate commitment to responsible AI implementation and help organizations stay ahead of evolving requirements.

Organizations must look beyond simply creating an AI workplace policy — this represents just the initial step in embracing innovation and exploring how artificial intelligence can enhance organizational capabilities. While employees bear responsibility for appropriate tool usage, organizations should invest in comprehensive training programs covering proper implementation and potential risks. Establishing a dedicated AI governance team becomes essential for addressing inevitable questions and concerns surrounding this rapidly evolving technology.

When organizations effectively manage risks, protect sensitive information, and maintain work quality standards, AI integration offers substantial benefits. A workplace AI policy serves as the foundation for building a successful and legally compliant relationship with artificial intelligence as the technology continues to advance. For questions specific to your organization’s circumstances, speaking with a knowledgeable employment attorney is always advisable.

Innovative Workplace AI Policy Resources

Beyond GO LAW, there are several platforms and resources that can help organizations navigate workplace AI governance. Here are some of the leading legal-focused tools worth exploring alongside your GO LAW documents:

• FlowSign — AI-powered document signing that makes executing your workplace AI policy agreements fast, secure, and audit-ready, with a streamlined e-signature workflow built for business documents.
• EEOC — Uniform Guidelines on Employee Selection Procedures — The authoritative federal guidance on bias testing for employment decision tools, directly applicable to AI-assisted hiring and promotion systems.
• NIST AI Risk Management Framework — A government-backed framework providing practical guidance for organizations developing internal AI governance policies and risk management programs.

Note: While these platforms offer useful tools and references, none substitute for personalized legal advice on complex AI governance matters. For multi-jurisdictional compliance questions or employment discrimination risk assessments, consulting with a licensed attorney is advisable.

Frequently Asked Questions: Workplace AI Policy

Additional Resources

• U.S. Equal Employment Opportunity Commission — Uniform Guidelines on Employee Selection Procedures
• National Institute of Standards and Technology (NIST) — AI Risk Management Framework
• Colorado General Assembly — SB 24-205, Artificial Intelligence Act (Full Text)
• SHRM — Artificial Intelligence in the Workplace Guidance and Resources
• Harvard Business Review — Artificial Intelligence Management and Policy Articles
• GO LAW Knowledge Base — Employment Law and Business Law Articles

Last Updated: February 2026