The rapid proliferation of generative AI has ushered in a new era of legal and ethical challenges, particularly concerning the use of an individual's voice, likeness, and performance rights. In response, states are enacting targeted legislation to protect individuals from unauthorized AI-generated content. Among the most significant is the Tennessee ELVIS Act (Effective from July 1, 2024), which establishes crucial protections for individuals against the unauthorized use of their persona through AI. For organizations deploying or developing AI systems that interact with or generate human likeness, voice, or performance, understanding and complying with this law is paramount. Proactive measures, including comprehensive AI Impact Assessments, are no longer optional but a critical component of a robust AI governance strategy. Leveraging advanced AI compliance software can significantly streamline this complex process, ensuring your organization remains ahead of regulatory curves.

While the ELVIS Act does not explicitly mandate a formal "AI Impact Assessment" in the same way the Colorado AI Act (SB 24-205, effective June 30, 2026) or the EU AI Act (Regulation (EU) 2024/1689, high-risk enforcement August 2, 2026) does, the substantial penalties and the broad scope of protected rights make a structured assessment indispensable. Businesses must undertake due diligence to identify, assess, and mitigate risks associated with their AI systems to avoid legal exposure. This guide provides a step-by-step approach to conducting an AI Impact Assessment tailored to the nuances of the Tennessee ELVIS Act, empowering compliance officers, general counsel, and CTOs to build a resilient AI risk management framework.

Understanding the Tennessee ELVIS Act: A New Frontier for AI Compliance Requirements by State

The Tennessee ELVIS Act, officially known as the "Ensuring Likeness, Voice, and Image Security Act," represents a landmark legislative effort to update existing rights of publicity in the digital age. Effective July 1, 2024, this law expands existing intellectual property protections to explicitly include AI-generated content. Specifically, it prohibits the unauthorized use of an individual's "voice, image, or likeness" for commercial purposes without their explicit consent. This extends beyond traditional recordings to encompass synthetic media generated by AI.

The scope of the ELVIS Act is broad, covering both "performances" and unique "identifying characteristics" that can be reproduced by AI. This means that generative AI systems creating deepfakes, voice clones, or digital replicas of individuals must adhere to strict consent requirements. For businesses, this impacts a wide array of AI applications, from marketing and advertising campaigns that might use AI-generated avatars or voiceovers, to product development featuring AI-generated characters based on real individuals, and even internal training modules.

The penalties for violating the ELVIS Act are significant: up to $150,000 per violation. Enforcement can come through a private right of action, allowing individuals whose rights have been infringed to sue, as well as through the Tennessee Attorney General's office. This dual enforcement mechanism underscores the seriousness of compliance and the need for a proactive AI compliance platform to manage potential risks. Given the potential for high-volume, low-cost AI generation, a single unprotected AI system could quickly accumulate devastating penalties.

The Imperative of AI Impact Assessments for ELVIS Act Compliance

While not explicitly named in the ELVIS Act, the process of conducting an AI Impact Assessment (AIA) is the most robust method for demonstrating adherence to its principles. An AIA systematically evaluates an AI system for potential risks, particularly those related to the unauthorized use of protected personas. It's a proactive measure designed to identify vulnerabilities before they lead to legal issues, aligning with broader AI risk management framework best practices like those outlined in the NIST AI Risk Management Framework (AI RMF 1.0) and international standards such as ISO/IEC 42001:2023.

For the ELVIS Act, the AIA focuses on identifying AI applications that could generate or use a person's voice, likeness, or image, assessing the risks of unauthorized use, and documenting the safeguards in place to prevent violations. This approach helps prevent issues like algorithmic discrimination prevention in a different context, by ensuring that individuals' unique attributes are not exploited or misrepresented by AI. A structured AIA becomes a fundamental part of an effective AI compliance checklist 2026.

Step-by-Step Guide to Conducting an AI Impact Assessment for ELVIS Act Compliance

Navigating the complexities of the Tennessee ELVIS Act requires a methodical approach to AI system evaluation. Here’s a practical, step-by-step guide to conducting an effective AI Impact Assessment.

Step 1: Define the AI System and its Scope

Begin by inventorying all AI systems within your organization that interact with or generate human voice, image, or likeness. This includes, but is not limited to:

Generative AI models used for content creation (e.g., marketing materials, virtual assistants, gaming).
AI-driven voice synthesis or cloning technologies.
Deepfake generation or detection tools.
AI models trained on datasets containing identifiable human attributes (e.g., employee videos, customer testimonials).
Systems that enable avatars or digital twins based on real people.

For each identified system, clearly define its purpose, the type of data it processes, its output capabilities, and how it is deployed internally and externally. This initial mapping is crucial for understanding the potential touchpoints with protected personas. AICompliant's dashboard can help you maintain a comprehensive inventory of your AI assets, making this foundational step manageable.

Step 2: Identify Protected Individuals and Entities

Determine whose voice, image, or likeness could potentially be impacted by the AI system. This extends beyond celebrities and public figures to include employees, customers, brand ambassadors, and even fictional characters with strong public association. Consider:

Are you using or generating the likeness of employees for internal training videos or marketing?
Are customer testimonials being synthesized with AI voices or avatars?
Are you creating digital characters for games or simulations that might bear resemblance to known individuals without proper authorization?

The ELVIS Act protects "any individual," not just those with existing public recognition. This broad scope necessitates a careful review of all potential subjects whose persona could be inadvertently or intentionally replicated.

Step 3: Assess Risk of Unauthorized Use or Generation

Evaluate the potential for the AI system to generate or use an individual's voice, image, or likeness without explicit, informed consent. Consider various scenarios:

Deepfake Risk: Could the AI system be used to create realistic but false audio, video, or images of a person?
Voice Cloning Risk: Is there a possibility of the AI system replicating a person’s voice without permission for commercial use?
Likeness Recreation: Could the AI generate an avatar or digital representation that is recognizably similar to a protected individual?
Training Data Misuse: Does the AI model's training data contain protected personas that could be exploited in outputs or raise consent issues (e.g., California AB 2013 on training data, effective January 1, 2025, with penalties up to $7,500 per violation)?

This risk assessment should consider both intentional misuse and unintentional outputs. Your organization needs to proactively identify and categorize these risks based on their likelihood and potential impact (e.g., financial penalties, reputational damage, legal action). An AI compliance tool can provide structured methodologies for this assessment, helping you map identified risks against a comprehensive AI risk management framework.

Step 4: Evaluate Consent Mechanisms and Documentation

The cornerstone of ELVIS Act compliance is explicit and informed consent. For each identified AI system and potential impact:

Verify Consent: Is robust, legally sound consent obtained from individuals whose voice, image, or likeness is used or generated by AI? Does this consent clearly outline the scope, duration, and purpose of the use?
Manage Consent Revocation: How can individuals revoke consent? What processes are in place to ensure AI systems cease using their persona upon revocation?
Document Consent: Maintain meticulous records of consent obtained, including dates, terms, and any modifications or revocations. This is critical for demonstrating compliance if challenged.

These requirements echo principles found in broader data privacy regulations like GDPR (Regulation (EU) 2016/679, effective May 25, 2018, with penalties up to €20,000,000 per violation), which emphasize clear, unambiguous consent for data processing. AICompliant provides features to help manage and document consent for various AI applications, supporting robust record-keeping.

Step 5: Implement Safeguards and Mitigation Strategies

Based on your risk assessment, develop and implement technical and organizational safeguards to prevent unauthorized use of protected personas. This might include:

Technical Controls:
- Content Filtering: Implementing filters to prevent the generation of content that replicates known individuals without consent.
- Watermarking/Provenance: Embedding invisible or visible markers in AI-generated content to indicate its synthetic origin, crucial for transparency as seen in California AI Transparency Act (SB 942, effective January 1, 2026, with penalties up to $5,000 per violation_per_day).
- Access Controls: Limiting access to generative AI tools or datasets containing protected personas.
Policy Controls:
- Usage Policies: Developing clear internal policies for the ethical and legal use of generative AI within the organization.
- Employee Training: Educating employees on ELVIS Act requirements and responsible AI practices.
- Third-Party Vendor Agreements: Ensuring AI service providers and partners also comply with persona rights and have robust safeguards.
Human Oversight: Establishing processes for human review of AI-generated content before public release, particularly if it involves synthetic media.

An AI compliance checklist for 2026 should incorporate these mitigation strategies, ensuring that your proactive measures align with emerging regulatory expectations across different states and jurisdictions.

Step 6: Document and Maintain Records

Comprehensive documentation is not just good practice; it's essential for demonstrating compliance and defending against potential legal action. For each AI system, maintain:

The completed AI impact assessment template, detailing the system's scope, risks identified, and mitigation strategies.
Records of consent obtained, including the scope and duration of use.
Internal policies, training materials, and third-party agreements related to AI use.
Audit trails of AI-generated content, including its origin and approval process.
Any incidents, complaints, or feedback received regarding AI-generated personas and how they were addressed.

Platforms providing automated AI compliance can centralize this documentation, making it easily accessible for internal audits, regulatory inquiries, or legal discovery. This aligns with the documentation requirements emphasized by frameworks like ISO/IEC 42001:2023, which promotes an auditable AI management system.

Step 7: Ongoing Monitoring and Review

AI systems are not static; they evolve, learn, and are applied in new contexts. Therefore, AI Impact Assessments must be an ongoing process, not a one-time event.

Regular Reviews: Conduct periodic reviews of your AI systems and their associated assessments, especially when there are changes in system functionality, data inputs, or deployment contexts.
Incident Response: Establish clear procedures for responding to and remediating any incidents involving the unauthorized use of protected personas. California SB 53 (effective September 29, 2025, penalties up to $1,000,000 per violation) mandates incident reporting for frontier AI models, highlighting the importance of a rapid response.
Stay Updated: Continuously monitor changes in AI regulation, both at the state level (e.g., Texas Responsible AI Governance Act (TRAIGA) HB 149, effective January 1, 2026, with penalties up to $200,000 per violation; Utah AI Policy Act SB 149, effective May 1, 2024, penalties up to $10,000 per violation) and federal level (e.g., FTC Section 5 enforcement with penalties up to $50,000 per violation_per_day).

AICompliant's dashboard offers real-time monitoring capabilities, enabling organizations to track AI assets, manage compliance tasks, and receive alerts about regulatory updates, ensuring continuous compliance.

Leveraging AICompliant for ELVIS Act Compliance

The complexity and dynamic nature of AI regulation, epitomized by the Tennessee ELVIS Act, demand sophisticated solutions. AI compliance software like AICompliant is specifically designed to help organizations navigate these challenges effectively.

AICompliant provides an integrated AI risk management framework that simplifies the entire AI Impact Assessment process. Our platform offers:

Centralized AI Asset Inventory: Track all your AI systems, their data inputs, outputs, and associated risks, aligning with Step 1 and 2.
Guided Risk Assessment Tools: Utilize predefined templates and structured workflows to conduct thorough risk assessments, as described in Step 3. This includes guidance on identifying potential ELVIS Act violations.
Consent Management: Tools to manage, track, and document consent for the use of protected personas, crucial for Step 4.
Policy and Controls Management: Organize and enforce internal policies and technical safeguards, supporting Step 5, and ensuring your AI compliance requirements by state are met.
Automated Documentation: Generate and maintain a comprehensive AI impact assessment template and audit trails, making Step 6 effortless and ensuring your AI compliance checklist 2026 is always up-to-date.
Regulatory Monitoring: Stay informed about new and evolving AI laws, including updates to the Tennessee ELVIS Act and other significant legislation like the NYC AEDT Law (Local Law 144, effective July 5, 2023, penalties up to $1,500 per violation_per_day) or the Illinois AI Video Interview Act (AIVIA) HB 2557, effective January 1, 2020. Our US state AI law tracker keeps you informed.
Compliance Checker: Use our /tools/compliance-checker to get a quick overview of your current compliance posture and identify gaps.

By leveraging automated AI compliance, organizations can significantly reduce the manual effort and human error associated with managing complex regulatory obligations, freeing up valuable resources to focus on strategic AI development.

Broader Context: The Evolving Landscape of AI Regulation

The Tennessee ELVIS Act is just one piece of a rapidly expanding global mosaic of AI regulation. From the comprehensive EU AI Act (Regulation (EU) 2024/1689, with penalties up to €35,000,000 per violation) to state-specific laws like the Colorado AI Act (SB 24-205, effective June 30, 2026, penalties up to $20,000 per violation) and California's growing body of AI laws (AB 2013, SB 53, SB 942), businesses face a patchwork of requirements. Managing these diverse obligations requires more than piecemeal solutions; it demands a unified, adaptable AI compliance platform.

Whether it's ensuring fair AI in employment decisions as mandated by Maryland AI Employment Law (HB 1106, effective October 1, 2025, penalties up to $10,000 per violation) or protecting consumer privacy in AI profiling under Virginia CDPA (effective January 1, 2023, penalties up to $7,500 per violation), a holistic view of your AI ecosystem and its compliance status is crucial. AICompliant's platform is designed to provide this holistic view, offering an integrated approach to global and local AI compliance.

Conclusion

The Tennessee ELVIS Act marks a significant step in the regulation of generative AI, imposing substantial responsibilities on organizations that leverage voice, image, or likeness in their AI applications. Conducting thorough AI Impact Assessments, supported by a robust AI risk management framework, is essential for mitigating legal and reputational risks. By adopting AI compliance software like AICompliant, businesses can not only meet the immediate requirements of the ELVIS Act but also establish a sustainable, scalable strategy for navigating the ever-evolving landscape of AI regulation. Proactive and automated AI compliance is no longer a luxury; it is a strategic imperative for any organization committed to responsible AI development and deployment.

Call to Action

Ensure your organization is fully compliant with the Tennessee ELVIS Act and other emerging AI regulations. Discover how AICompliant’s robust platform can streamline your AI Impact Assessments and automate your compliance efforts. Learn more about our features and pricing options at https://aicompliant.ai/pricing.

Frequently Asked Questions

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

The Tennessee ELVIS Act, or "Ensuring Likeness, Voice, and Image Security Act," expands existing rights of publicity to explicitly cover AI-generated content. It prohibits the unauthorized commercial use of an individual's voice, image, or likeness generated by AI. The law becomes effective on July 1, 2024.

Does the ELVIS Act explicitly require an AI Impact Assessment (AIA)?

While the ELVIS Act does not explicitly mandate a formal "AI Impact Assessment," the broad scope of protected rights and significant penalties necessitate that organizations conduct thorough due diligence. A structured AI Impact Assessment, following best practices like those outlined in the NIST AI Risk Management Framework, is the most effective way to identify, assess, and mitigate risks associated with AI systems that might fall under the ELVIS Act.

What are the penalties for violating the Tennessee ELVIS Act?

Violations of the Tennessee ELVIS Act can result in substantial penalties of up to $150,000 per violation. Enforcement can be initiated through a private right of action by affected individuals or by the Tennessee Attorney General's office.

How can AI compliance software help with ELVIS Act compliance?

AI compliance software like AICompliant provides a structured AI risk management framework to help organizations comply with the ELVIS Act. It assists with inventorying AI systems, conducting guided risk assessments, managing consent for persona use, implementing and tracking safeguards, automating documentation, and monitoring regulatory changes. This streamlines the entire compliance process, reducing manual effort and minimizing risk.

What specific documentation should be maintained for ELVIS Act compliance?

For ELVIS Act compliance, it is critical to document a completed AI impact assessment template for relevant AI systems, records of explicit and informed consent obtained from individuals for the use of their voice, image, or likeness, internal policies for AI use, employee training records, and agreements with third-party AI vendors. These records serve as crucial evidence of your organization's compliance efforts.

AI Compliance Software: ELVIS Act AI Impact Assessment Guide