How to Conduct an AI Impact Assessment Under Tennessee ELVIS Act (AI Voice/Likeness)

The rapid advancement of artificial intelligence (AI) has brought forth powerful capabilities, but also complex regulatory challenges. For companies deploying AI systems that generate or manipulate voice and likeness, understanding and adhering to evolving state laws is paramount. One such critical piece of legislation is the Tennessee ELVIS Act, which officially took effect on July 1, 2024. This law establishes new protections against the unauthorized use of an individual’s voice and likeness by generative AI, creating significant compliance obligations for businesses.

Navigating these new requirements demands a proactive approach, spearheaded by a thorough AI Impact Assessment (AIIA). For compliance officers, general counsel, and CTOs, establishing a robust AI risk management framework is no longer optional but a strategic imperative. Utilizing advanced AI compliance software is crucial for streamlining this process, ensuring accuracy, and providing comprehensive documentation. This article will guide you through the intricacies of conducting an effective AIIA under the Tennessee ELVIS Act, offering practical steps and demonstrating how an automated AI compliance solution can significantly simplify your efforts.

Understanding the Tennessee ELVIS Act

The Tennessee ELVIS Act (AI Voice/Likeness), while not assigned a specific bill number at the time of its passage, became effective on July 1, 2024. ELVIS stands for "Ensuring Likeness, Voice, and Image Security." This landmark legislation expands existing protections for individuals' rights of publicity to explicitly cover AI-generated deepfakes, voice clones, and other digital impersonations. It makes Tennessee the first U.S. state to provide statutory protection for the unauthorized use of a person's voice by AI.

Key Provisions and Penalties: The Act significantly broadens the scope of what constitutes an individual's "likeness" to include specific characteristics that identify a person, such as their voice, image, and visual appearance. It targets the use of AI to create "deepfakes" that impersonate individuals without consent, particularly in commercial contexts. The penalties for violating the ELVIS Act are substantial, reaching up to $150,000 per violation. Enforcement can come through both a private right of action, allowing individuals to sue for damages, and actions initiated by the Tennessee Attorney General.

For any organization utilizing generative AI models that could produce or manipulate vocal or visual characteristics, understanding the nuances of the ELVIS Act is critical. This includes media companies, advertising agencies, game developers, virtual reality platforms, and even internal corporate communications departments experimenting with AI-generated content. Non-compliance carries not only severe financial penalties but also significant reputational damage.

The Imperative of an AI Impact Assessment (AIIA)

An AI Impact Assessment (AIIA) is a systematic process for identifying, analyzing, and mitigating the potential risks and benefits of an AI system. While frameworks like the voluntary NIST AI Risk Management Framework (AI RMF 1.0) provide broad guidelines for responsible AI, specific regulatory demands, such as those imposed by the Tennessee ELVIS Act, necessitate tailored assessments.

The primary goal of an AIIA under the ELVIS Act is to ensure that AI systems processing or generating voice and likeness data adhere to legal requirements regarding consent, transparency, and fair use. Without a formal assessment, organizations risk deploying non-compliant AI, leading to legal challenges, fines, and erosion of public trust. An AIIA serves as a critical component of your broader AI risk management framework, helping you to:

Identify vulnerabilities: Pinpoint where AI systems might unintentionally or intentionally infringe on an individual's right of publicity.
Establish controls: Implement measures to prevent unauthorized use and ensure proper consent.
Demonstrate due diligence: Provide documented evidence of your efforts to comply with the law, which can be invaluable in the event of a dispute or regulatory inquiry.
Inform ethical deployment: Align your AI initiatives with ethical guidelines and responsible innovation practices.

Moreover, conducting regular AIIAs prepares your organization for the rapidly expanding landscape of AI regulation. From the Colorado AI Act (SB 24-205), effective June 30, 2026, with penalties up to $20,000 per violation, to the comprehensive EU AI Act (Regulation (EU) 2024/1689), which brings high-risk AI system enforcement by August 2, 2026, with penalties up to $35,000,000 per violation, a consistent approach to impact assessments is becoming a global standard.

Step-by-Step Guide to Conducting an ELVIS Act AIIA

An effective ELVIS Act AIIA requires a structured, multidisciplinary approach involving legal, technical, and business stakeholders.

1. Define Scope and Identify AI Systems in Use

Begin by clearly defining which AI systems and applications fall within the scope of the ELVIS Act. This involves identifying all instances where your organization's AI:

Generates or modifies audio that could be perceived as an individual's voice.
Generates or modifies images/video that could be perceived as an individual's likeness or visual appearance (e.g., deepfakes, synthetic media).
Uses real voice or likeness data (e.g., from recordings, public images) as training data or input for generative models.

Consider both internal use cases (e.g., AI-powered virtual assistants for employees, synthetic media for internal training) and external applications (e.g., marketing campaigns using AI-generated avatars, customer service bots with synthetic voices). Document each identified system, its purpose, and its functional characteristics.

2. Map Data Flows and Use Cases

For each in-scope AI system, meticulously map the entire lifecycle of voice and likeness data. This includes:

Data Collection: How is the original voice or likeness data acquired? Is it publicly available, licensed, or collected directly from individuals? What consent mechanisms are in place at the point of collection?
Data Storage and Processing: Where is the data stored? Who has access? How is it processed, transformed, or used as training material for AI models?
AI Model Development and Training: What data sets are used to train the AI? Do these datasets contain identifiable voice or likeness attributes? What steps are taken to anonymize or de-identify data where appropriate?
AI Model Deployment and Output: How is the AI-generated content (synthetic voice, likeness) produced and disseminated? In what contexts is it used?

A detailed understanding of these data flows is fundamental to identifying potential points of non-compliance. An AI compliance platform can significantly aid in visualizing these data flows and ensuring all relevant touchpoints are documented.

3. Assess Risks: Consent, Deception, and Harm

The core of the AIIA is a thorough risk assessment. Under the ELVIS Act, the primary risks revolve around the unauthorized use of an individual's protected attributes. Key questions to address include:

Consent Management:
- Do you have explicit, informed consent from individuals whose voice or likeness is used or simulated by your AI?
- Is the consent granular enough for specific uses (e.g., commercial vs. non-commercial, specific contexts)?
- How is consent recorded, tracked, and revoked?
Likelihood of Deception:
- Could the AI's output reasonably mislead a consumer into believing that an individual is speaking or endorsing something they are not?
- Are there clear and conspicuous disclosures when synthetic media is used, indicating that the content is AI-generated? (This is also a requirement under other laws like the Utah AI Policy Act (SB 149), effective May 1, 2024, with penalties up to $10,000 per violation).
Potential for Harm:
- Beyond legal violations, could the unauthorized use of voice/likeness cause reputational, financial, or emotional harm to individuals?
- Are there safeguards against discriminatory or harmful outputs, aligning with principles of algorithmic discrimination prevention?
Third-Party Risks:
- If you use third-party AI models or services, how do you ensure their compliance with ELVIS Act requirements, especially regarding consent for training data or outputs?

Categorize risks by severity (low, medium, high) and likelihood, prioritizing those with the highest potential impact and probability.

4. Develop and Implement Mitigation Strategies

Based on your risk assessment, develop concrete mitigation strategies. This often involves a blend of technical, legal, and organizational controls:

Robust Consent Mechanisms: Implement clear, user-friendly consent forms that specify how voice/likeness data will be used. For high-risk applications, consider multi-factor consent or re-confirmation.
Transparency and Disclosure: Ensure all AI-generated content covered by the ELVIS Act includes prominent disclosures that it is synthetic. This could involve watermarks, disclaimers, or metadata.
Data Governance Policies: Develop strict policies for the collection, storage, and deletion of voice/likeness data. Regularly audit compliance with these policies.
Vendor Due Diligence: For third-party AI tools, review vendor contracts to ensure they guarantee compliance with relevant laws and provide assurances regarding data provenance and consent.
Opt-Out Mechanisms: Provide clear and accessible ways for individuals to request the removal of their likeness or voice from AI models or datasets, if applicable.
Internal Training: Educate employees, especially those involved in AI development, deployment, or content creation, about the ELVIS Act and your organization's compliance policies.

This section should result in a clear AI compliance checklist 2026 for your organization's specific AI applications.

5. Documentation and Record-Keeping

Comprehensive documentation is paramount for demonstrating compliance. Maintain detailed records of every stage of your AIIA:

Assessment Reports: A summary of the AI system, identified risks, mitigation strategies, and responsible parties.
Consent Records: Proof of consent, including when and how it was obtained, and its scope.
Policy Documents: Internal guidelines, data governance policies, and ethical AI principles.
Training Records: Documentation of employee training on AI compliance.
Review Logs: Records of periodic reviews and updates to the AIIA.

This documentation serves as your evidence of due diligence and is crucial for responding to inquiries from regulators (like the Tennessee Attorney General) or parties exercising their private right of action. Managing this volume of documentation effectively often requires an advanced AI compliance platform that can centralize records and provide an auditable trail.

6. Regular Review and Updates

AI technology, regulatory landscapes, and your own AI applications are constantly evolving. An AIIA is not a one-time event. Schedule regular reviews (e.g., annually, or upon significant changes to an AI system) to:

Re-assess risks: New uses or data sources may introduce new risks.
Evaluate effectiveness of controls: Ensure mitigation strategies are still adequate and effective.
Incorporate new regulations: Stay abreast of new US state AI law tracker updates and federal or international AI regulations that may impact your operations.

This iterative process ensures continuous compliance and adaptation to emerging challenges, positioning your organization with a robust AI risk management framework.

Leveraging AICompliant for Enhanced ELVIS Act Compliance

Manually conducting and maintaining an AI Impact Assessment, especially across multiple AI systems and evolving regulations, can be a complex and resource-intensive endeavor. This is where a specialized AI compliance platform like AICompliant proves indispensable.

AICompliant offers an intuitive solution to manage your entire AI compliance lifecycle, transforming the daunting task of regulatory adherence into a streamlined, automated process. Here's how our platform enhances your ELVIS Act AIIA:

Centralized Risk Assessment: AICompliant provides structured templates and workflows for conducting your AIIAs, guiding you through each step from identifying AI systems to assessing specific ELVIS Act risks related to voice and likeness. Our /tools/compliance-checker allows you to quickly evaluate your systems against relevant regulations.
Automated Policy Management: Generate, store, and manage all your AI-related policies and consent documentation in one secure location. Our platform helps ensure that your consent mechanisms align with ELVIS Act requirements and are easily auditable.
Real-time Regulatory Updates: Stay ahead of the curve with continuous monitoring of global AI regulations, including the Tennessee ELVIS Act and other significant laws like the NYC AEDT Law (Local Law 144 of 2021), effective July 5, 2023, with its specific rules for AI in employment decisions and penalties up to $1,500 per violation per day. This ensures your AI compliance checklist 2026 is always current.
Comprehensive Documentation & Auditing: AICompliant centralizes all your AIIA reports, mitigation strategies, and evidence of compliance. The /dashboard provides a clear, actionable overview of your compliance posture, facilitating easy reporting and audit readiness.
Collaboration & Workflow Automation: Assign tasks, track progress, and foster seamless collaboration across legal, technical, and business teams involved in your AIIA. This ensures that responsibilities are clear and nothing falls through the cracks.

By integrating an AI compliance solution like AICompliant, your organization can move beyond reactive compliance to a proactive, resilient AI risk management framework. Our platform provides the infrastructure for an automated AI compliance approach, allowing you to confidently innovate with AI while respecting individual rights and adhering to legal mandates.

Conclusion

The Tennessee ELVIS Act marks a significant step in the regulation of generative AI, particularly concerning voice and likeness. For businesses leveraging such technologies, conducting a thorough AI Impact Assessment is not just a best practice but a legal necessity to avoid substantial penalties of up to $150,000 per violation. By following a structured AIIA process—defining scope, mapping data flows, assessing risks, implementing mitigations, and documenting everything—organizations can establish a strong foundation for compliance.

As the regulatory landscape for AI continues to evolve with laws like the Colorado AI Act and the EU AI Act setting new global standards, the need for efficient and scalable AI compliance software becomes ever more critical. Embracing solutions like AICompliant empowers compliance officers, general counsel, and CTOs to implement a robust AI risk management framework, ensuring that their AI initiatives are both innovative and compliant. Proactive and automated AI compliance is the key to sustainable AI deployment in the modern regulatory environment.

CTA

Ready to streamline your AI Impact Assessments and ensure full compliance with the Tennessee ELVIS Act and other global AI regulations? Explore how AICompliant can automate your compliance journey and protect your organization from regulatory risks.

Discover AICompliant Pricing & Solutions

Frequently Asked Questions

What is the Tennessee ELVIS Act?

The Tennessee ELVIS Act (Ensuring Likeness, Voice, and Image Security Act) is a state law, effective July 1, 2024, that expands the protection of an individual's right of publicity to explicitly cover the unauthorized use of their voice, image, and likeness by generative AI. It aims to prevent the creation and use of "deepfakes" and voice clones without consent.

When did the Tennessee ELVIS Act become effective, and what are its penalties?

The Tennessee ELVIS Act became effective on July 1, 2024. Violations can incur significant penalties of up to $150,000 per violation. Enforcement can be pursued through a private right of action by affected individuals or by the Tennessee Attorney General.

Who needs to conduct an AI Impact Assessment under the ELVIS Act?

Any organization that develops, deploys, or uses AI systems capable of generating or manipulating an individual's voice or likeness, particularly in commercial contexts, should conduct an AI Impact Assessment. This includes companies involved in media, advertising, entertainment, and any other sector utilizing generative AI for content creation involving human-like attributes.

How does the ELVIS Act relate to other AI regulations?

The ELVIS Act is a specific state law focusing on voice and likeness. It contributes to a broader, complex web of AI regulations globally, including the Colorado AI Act (SB 24-205) for high-risk AI, the EU AI Act (Regulation (EU) 2024/1689) for high-risk AI across Europe, and local laws like NYC Local Law 144 for AI in employment. Organizations operating across jurisdictions need a comprehensive AI risk management framework that addresses all applicable laws.

How can AICompliant help with ELVIS Act compliance?

AICompliant is an AI compliance platform that provides tools and workflows to automate and streamline your AI Impact Assessments, including those mandated by the ELVIS Act. It helps identify in-scope AI systems, map data flows, assess risks, manage consent records, track mitigation strategies, and maintain comprehensive, auditable documentation. This makes managing your AI compliance checklist 2026 easier and more efficient.

Automated AI Compliance: ELVIS Act Impact Assessment