Navigating the Tennessee ELVIS Act: A Guide to AI Impact Assessments and Compliance Automation

The rapid proliferation of artificial intelligence (AI) has introduced complex legal and ethical challenges, particularly concerning the unauthorized use of an individual's voice, image, and likeness. Tennessee has taken a pioneering step with the passage of the Ensuring Likeness, Voice, and Image Security (ELVIS) Act, establishing a new frontier in AI regulation. For general counsel, CTOs, and compliance officers at mid-to-large companies, understanding and implementing robust AI compliance automation strategies, particularly through comprehensive AI Impact Assessments (AIIAs), is no longer optional—it's imperative.

The ELVIS Act, effective July 1, 2024, significantly expands the scope of protection for individuals' rights of publicity to include technology-enabled deepfakes, voice clones, and other synthetic media. Companies utilizing AI that could generate or manipulate such content, even inadvertently, face substantial legal exposure. Penalties for violations under the Tennessee ELVIS Act can reach up to $150,000 per violation, enforceable via a private right of action and by the Tennessee Attorney General. This necessitates a proactive and systematic approach to identifying, assessing, and mitigating risks, making a well-executed AI Impact Assessment the cornerstone of your compliance efforts.

This article provides a practical, step-by-step guide to conducting an AI Impact Assessment under the Tennessee ELVIS Act, offering insights into what to document and how an advanced AI compliance platform like AICompliant can streamline these critical processes.

Understanding the Tennessee ELVIS Act: Key Provisions and Implications

The Tennessee ELVIS Act amends existing state law to clarify and broaden the definition of an individual's "right of publicity." It explicitly includes the protection of an individual's name, photograph, voice, and likeness from unauthorized commercial exploitation through the use of generative AI and similar technologies. This means that:

Voice Clones and Deepfakes: The act makes it illegal to use AI to generate a person's voice or likeness without consent if that use is intended to mislead or commercially exploit.
Digital Replicas: It covers the creation and use of digital replicas, regardless of how they are made, if they imitate a real person.
Expanded Scope: Unlike previous laws, the ELVIS Act is specifically designed to address the unique capabilities of AI in creating synthetic media.

The implications for businesses are far-reaching. Any company involved in content creation, advertising, entertainment, virtual assistants, customer service, or product development that uses or could potentially generate synthetic media featuring human likenesses or voices must scrutinize its AI deployments. Ignoring these requirements could lead to significant financial penalties and severe reputational damage.

The Imperative of an AI Impact Assessment

An AI Impact Assessment (AIIA) is a systematic process for identifying, analyzing, and mitigating the potential risks and ethical implications of an AI system. While the Tennessee ELVIS Act doesn't explicitly mandate an AIIA, conducting one is the most effective way to demonstrate due diligence and prevent violations. Moreover, AIIAs are a foundational element across a growing number of global AI regulations and frameworks, including:

The Colorado AI Act (SB 24-205), effective June 30, 2026, which requires developers and deployers of high-risk AI systems to conduct detailed AIIAs. Violations can incur penalties up to $20,000 per violation, enforced by the Colorado Attorney General.
The EU AI Act (Regulation (EU) 2024/1689), effective August 1, 2024, with high-risk system obligations, including impact assessments, becoming enforceable by August 2, 2026. Non-compliance can lead to staggering penalties of up to $35,000,000 per violation, overseen by the European Commission (AI Office) and national competent authorities.
The NIST AI Risk Management Framework (AI RMF 1.0), though voluntary, strongly advocates for impact assessments as a core component of responsible AI development and deployment.
ISO/IEC 42001:2023, an international standard for AI management systems, which also emphasizes risk and impact assessment.

These examples underscore that establishing a robust AI risk management framework that includes AIIAs is no longer a localized concern but a global best practice. An effective AIIA under the ELVIS Act will not only ensure compliance with Tennessee law but also contribute to a broader AI compliance checklist 2026 for your organization.

Step-by-Step: Conducting an ELVIS Act AI Impact Assessment

A successful ELVIS Act AI Impact Assessment requires a structured approach. Here's how to conduct one, with practical tips on what to document:

1. Define Scope and Identify AI Systems

Identify Relevant AI Systems: Catalogue all AI systems, models, or features within your organization that could generate, modify, or interact with human voice, image, or likeness. This includes generative AI for marketing, virtual avatars, voice bots, digital assistants, content creation tools, and even internal applications that process biometric data or create synthetic representations.
Define Use Cases: For each identified system, clearly articulate its intended purpose, how it's deployed, and who its users or subjects are. For example, "AI voice clone for marketing campaigns" or "generative AI for creating virtual brand ambassadors."
Data Sources: Document the training data and input data used by the AI system. Is it sourced from publicly available datasets, licensed content, or internal proprietary data? Understanding the origin of data is critical for assessing potential ELVIS Act violations, especially concerning personal attributes.

Documentation Tip: Create an inventory of AI systems, detailing their function, purpose, development status (in-development, deployed), data sources, and internal ownership.

2. Analyze Data and Modality Focus

The ELVIS Act specifically targets voice, image, and likeness. Your assessment must therefore delve deeply into how your AI systems handle these modalities.

Likeness Generation: Does the AI system generate images, videos, or 3D models that could be perceived as a real person's likeness? How accurate is the likeness? Is it an original creation or based on existing individuals?
Voice Generation: Does the AI system generate audio that could be perceived as a real person's voice? What are the characteristics of the voice (e.g., tone, accent, cadence)?
Source Material Analysis: For any synthetic content, identify the source material used to create the likeness or voice. Was it based on a celebrity, an employee, or a generic representation?
Authenticity and Deception: Evaluate the potential for the AI-generated content to be mistaken for an authentic representation of a real person. This is crucial given the ELVIS Act's focus on unauthorized commercial exploitation and misleading representations.

Documentation Tip: For each AI system, detail the specific modalities (voice, image, likeness) it processes or generates. Include a qualitative assessment of the "realism" or potential for deception of the output.

3. Identify and Assess Risks

This is the core of the AIIA, focusing on potential violations of the ELVIS Act and broader ethical concerns.

Unauthorized Use of Likeness/Voice:
- Direct Infringement: Does the AI system directly reproduce or mimic a protected likeness or voice without explicit, verifiable consent?
- Implied Endorsement/Association: Could the AI-generated content create a false impression of endorsement, sponsorship, or association with a real person?
- Misappropriation: Is the likeness or voice being used for commercial gain without the individual's permission?
Deepfake and Synthetic Media Risks: Assess the potential for the AI system to create "deepfakes" or other highly realistic synthetic media that could be used maliciously or without consent.
Reputational Harm: Consider the potential for synthetic content to damage an individual's reputation or cause emotional distress.
Data Privacy (GDPR, CCPA, etc.): While the ELVIS Act focuses on publicity rights, AI systems handling likenesses and voices often process personal data. Evaluate compliance with data privacy regulations such as GDPR (Regulation (EU) 2016/679) (effective May 25, 2018, up to $20,000,000 per violation), the Virginia CDPA (effective January 1, 2023, up to $7,500 per violation), and California privacy laws like AB 2013 (Training Data) (effective January 1, 2025, up to $7,500 per violation).
Bias and Discrimination: Even if not directly covered by ELVIS, the potential for algorithmic discrimination prevention in AI systems that categorize or generate human characteristics should be assessed. This aligns with principles in the OECD AI Principles (effective May 22, 2019) and emerging laws like the Maryland AI Employment Law (HB 1106, effective October 1, 2025, up to $10,000 per violation) and NYC AEDT Law (Local Law 144 of 2021, effective July 5, 2023, up to $1,500 per violation_per_day).

Documentation Tip: For each identified risk, describe its nature, the severity of potential harm (low, medium, high), and the likelihood of its occurrence. Quantify where possible. This forms a crucial part of your AI risk management framework.

4. Develop and Implement Mitigation Strategies

Once risks are identified, propose and implement concrete measures to mitigate them.

Consent Management:
- Explicit Consent: For any use of a person's voice or likeness, ensure clear, informed, and explicit consent is obtained. This includes granular details about the scope, duration, and purpose of use.
- Opt-Out Mechanisms: Where applicable, provide clear and accessible mechanisms for individuals to opt-out or request removal of their likeness/voice.
- Transparency: Clearly disclose when AI is being used to generate or modify content involving human likenesses or voices. The California AI Transparency Act (SB 942, effective January 1, 2026, up to $5,000 per violation_per_day) sets a precedent for such requirements.
Technological Controls:
- Watermarking/Tagging: Implement digital watermarking or metadata tagging to clearly identify AI-generated content.
- Robustness Testing: Test AI systems for their ability to distinguish between consented and unconsented uses, and to resist attempts at unauthorized manipulation.
- Access Controls: Restrict access to AI systems capable of generating likenesses/voices to authorized personnel only.
Policy and Process Controls:
- Internal Guidelines: Develop clear internal policies for the ethical and legal use of generative AI.
- Vendor Management: If using third-party AI tools or models, ensure their compliance processes align with your own and the ELVIS Act.
- Legal Review: All new AI deployments involving likeness/voice should undergo legal review.
Human Oversight: Integrate human review points into AI workflows, especially for content intended for public release.

Documentation Tip: Detail each mitigation measure, its responsible party, implementation timeline, and how its effectiveness will be monitored.

5. Documentation and Record-Keeping

Comprehensive documentation is your primary defense in the event of a complaint or legal challenge.

AIIA Report: Compile a formal report summarizing the entire assessment process, including scope, risks identified, mitigation strategies, and conclusions.
Consent Records: Maintain meticulous records of all consents obtained, including their scope and duration.
Policy Documents: Keep up-to-date copies of all relevant internal policies and guidelines.
Training Records: Document training provided to employees on ELVIS Act compliance and responsible AI use.
Audit Trails: Maintain audit trails for AI system usage, modifications, and incident responses.

Documentation Tip: Store all documentation in a centralized, secure, and easily auditable location. An AI compliance platform can serve as an invaluable repository for these records.

6. Regular Review and Updates

AI technology, legal landscapes, and your organization's use cases evolve rapidly. An AIIA is not a one-time event.

Scheduled Reviews: Conduct regular, scheduled reviews of your AIIAs (e.g., annually, or when significant changes occur).
Triggered Reviews: Update AIIAs whenever there are significant changes to the AI system (new features, data sources), its deployment (new use cases, expanded audience), or relevant regulations (new state AI laws).
Performance Monitoring: Continuously monitor the performance and outputs of your AI systems for any unexpected behaviors or potential compliance issues.

Documentation Tip: Record the dates of all reviews, any changes made to the AIIA or mitigation strategies, and the rationale behind those changes.

Leveraging AI Compliance Software for ELVIS Act Adherence

Manually tracking AI systems, conducting impact assessments, managing consents, and maintaining compliance documentation across various jurisdictions (e.g., Tennessee, Colorado, EU) is an overwhelming task for even the most well-resourced compliance teams. This is where AI compliance software becomes indispensable.

An AI compliance platform like AICompliant offers an integrated solution to streamline and automate many aspects of your ELVIS Act AI Impact Assessment and broader AI compliance efforts:

Centralized AI System Inventory: AICompliant provides a unified dashboard (accessible via /dashboard) to catalog all your AI systems, their data sources, and intended uses. This gives you a clear overview for identifying systems relevant to the ELVIS Act.
Guided Impact Assessment Workflows: The platform offers structured templates and workflows that guide you through each step of the AIIA, from risk identification to mitigation planning. It can incorporate an AI impact assessment template specifically tailored to the ELVIS Act's requirements, ensuring all necessary areas are covered.
Automated Documentation & Record-Keeping: AICompliant centralizes all your compliance documentation—AIIA reports, consent forms, policy documents, and audit trails—making them easily searchable and auditable. This is critical for demonstrating due diligence to enforcers like the Tennessee Attorney General.
Risk Management and Tracking: The platform helps you build and manage your AI risk management framework, allowing you to log identified risks, assign mitigation tasks, and track their completion.
Regulatory Intelligence: AICompliant's integrated regulatory intelligence keeps you informed about updates to the Tennessee ELVIS Act and other pertinent regulations, ensuring your AI compliance checklist 2026 remains current. It tracks compliance requirements by state, giving you a holistic view.
Compliance Checker Tools: Utilize features like the AICompliant /tools/compliance-checker to assess specific AI deployments against current regulatory requirements, identifying gaps before they become costly violations. This is particularly useful for assessing potential ELVIS Act exposures.

By adopting an automated AI compliance solution, your organization can move beyond reactive crisis management to a proactive, systematic approach to AI governance. This not only mitigates regulatory risk but also fosters trust and innovation.

Broader AI Compliance Requirements & the Value of a Unified Platform

While the Tennessee ELVIS Act represents a critical state-level development, it's part of a much larger, evolving tapestry of AI regulation. Companies operating nationally or internationally must contend with a patchwork of requirements:

California SB 53 (Frontier AI / Incident Reporting), effective September 29, 2025, imposes significant incident reporting obligations for developers of frontier AI models, with penalties up to $1,000,000 per violation.
Connecticut AI and Data Privacy (SB 1103), effective October 1, 2025, introduces specific requirements for AI system transparency and fairness, carrying penalties up to $5,000 per violation.
Texas Responsible AI Governance Act (TRAIGA, HB 149), effective January 1, 2026, focuses on state agency use but signals broader regulatory intent, with potential penalties up to $200,000 per violation.
Utah AI Policy Act (SB 149), effective May 1, 2024, addresses AI disclosure for certain applications, with penalties up to $10,000 per violation.

Managing this complexity demands a unified approach. An AI compliance platform like AICompliant, which offers comprehensive regulatory tracking and an integrated compliance dashboard, is essential for any mid-to-large company navigating this landscape. It allows you to build an AI risk management framework that is adaptable and scalable, ensuring adherence to an ever-growing list of requirements, from the specific mandates of the Tennessee ELVIS Act to the overarching principles of the EU AI Act.

Practical Tips for Implementation

Cross-Functional Team: Form a dedicated team involving legal, compliance, technology, and business unit leaders to conduct AIIAs and oversee ongoing compliance.
Early Engagement: Integrate compliance considerations, including AIIAs, early in the AI development lifecycle ("privacy by design" and "AI ethics by design").
Employee Training: Regularly train employees involved in AI development, deployment, or content creation on ELVIS Act requirements and your company's AI policies.
Stay Informed: The AI regulatory landscape is dynamic. Continuously monitor legislative developments at both federal and state levels.

Conclusion

The Tennessee ELVIS Act marks a pivotal moment in AI regulation, underscoring the legal and ethical responsibilities of companies leveraging generative AI technologies. Conducting a thorough AI Impact Assessment is not merely about avoiding the $150,000 per violation penalties; it's about building trust, fostering responsible innovation, and safeguarding your company's reputation.

Embracing AI compliance automation through an advanced platform like AICompliant provides the tools and intelligence needed to navigate this complex environment effectively. It enables a proactive AI risk management framework, streamlines documentation, and ensures your organization maintains a robust AI compliance checklist 2026 against all relevant regulations. By taking these steps now, your company can transform regulatory challenges into opportunities for ethical leadership and sustainable growth in the AI era.

Ready to Streamline Your AI Compliance?

Don't let the complexities of the Tennessee ELVIS Act or other emerging AI regulations slow down your innovation. Discover how AICompliant can automate your AI Impact Assessments, manage your risk framework, and keep your organization compliant.

Explore AICompliant's Pricing Plans Today

Frequently Asked Questions

What is the Tennessee ELVIS Act and when does it become effective?

The Tennessee ELVIS Act (Ensuring Likeness, Voice, and Image Security Act) is a state law that expands the right of publicity to explicitly protect an individual's name, photograph, voice, and likeness from unauthorized commercial exploitation through generative AI and similar technologies. It became effective on July 1, 2024.

What are the penalties for violating the Tennessee ELVIS Act?

Violations of the Tennessee ELVIS Act can result in significant penalties, 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.

Is an AI Impact Assessment (AIIA) explicitly required by the Tennessee ELVIS Act?

While the Tennessee ELVIS Act does not explicitly mandate an AI Impact Assessment (AIIA), conducting one is considered a best practice for demonstrating due diligence and ensuring compliance. An AIIA helps organizations proactively identify, assess, and mitigate risks associated with their AI systems' use of voice, image, and likeness, thereby preventing potential violations.

How can an AI compliance platform like AICompliant help with ELVIS Act compliance?

An AI compliance platform like AICompliant can significantly streamline ELVIS Act compliance by providing tools for centralized AI system inventory, guided AI Impact Assessment workflows, automated documentation, risk management and tracking, and regulatory intelligence. It helps organizations build a robust AI risk management framework and maintain an up-to-date AI compliance checklist 2026 across various jurisdictions, including Tennessee.

What other AI regulations should companies be aware of, in addition to the ELVIS Act?

Companies should be aware of a growing number of AI regulations and frameworks, including the Colorado AI Act (SB 24-205) (effective June 30, 2026), the EU AI Act (Regulation (EU) 2024/1689) (effective August 1, 2024, with high-risk enforcement by August 2, 2026), California SB 53 (Frontier AI / Incident Reporting) (effective September 29, 2025), NYC AEDT Law (Local Law 144 of 2021) (effective July 5, 2023), and standards like the NIST AI Risk Management Framework (AI RMF 1.0). A comprehensive AI compliance platform can help manage these diverse requirements.

Tennessee ELVIS Act AI Impact Assessment: AI Compliance Auto