Right of publicity and deepfake laws are state-level statutes in the United States that govern the unauthorized use of a person's name, image, likeness, or voice, particularly when replicated through artificial intelligence techniques such as deep learning and neural networks. These laws have evolved to address the rise of AI-generated synthetic media, commonly known as deepfakes, which can depict real individuals in fabricated scenarios. The legal framework aims to balance free expression with an individual's control over their commercial identity, offering remedies such as injunctions and damages for violations.
Deepfakes, a portmanteau of 'deep learning' and 'fake', are images, videos, or audio edited or generated using AI-based tools. They may depict real or fictional people and are considered a form of synthetic media. The technology leverages machine learning techniques, including facial recognition algorithms and generative adversarial networks (GANs), to create highly realistic content. While the act of creating fake content is not new, deepfakes uniquely combine these advanced methods, raising concerns about their use in celebrity pornographic videos, revenge porn, fake news, hoaxes, bullying, and financial fraud. In response, state legislatures have enacted laws specifically targeting digital replicas, often within the context of the right of publicity.
Historical Context of Right of Publicity
The right of publicity, which protects an individual's control over the commercial use of their identity, originated in the United States during the mid-20th century. The term was first coined by Judge Jerome Frank in the 1953 case Haelan Laboratories, Inc. v. Topps Chewing Gum, Inc., which recognized that celebrities have a right to control the use of their likeness in advertising. Over the following decades, states developed varying approaches, with some recognizing the right through common law and others through statutes. By the early 21st century, most states had some form of protection, but these laws were primarily designed for traditional media such as photographs and advertisements, not for AI-generated content.
Emergence of Deepfake Technology
Deepfake technology has been developed by researchers at academic institutions beginning in the 1990s, with early projects like 'Video Rewrite' (1997) that modified existing footage to depict a person mouthing different audio. The field advanced significantly with the introduction of generative adversarial networks (GANs) in the mid-2010s, which allowed for the creation of highly realistic fake images and videos by training competing neural networks. This technical turning point enabled amateurs and industry to produce convincing deepfakes, leading to widespread availability and concern. The 'Synthesizing Obama' program (2017) and 'Face2Face' (2016) demonstrated photorealistic facial reanimation and real-time expression mimicry, respectively, further illustrating the potential for misuse.
State Legislative Responses
As deepfakes became more prevalent, states began enacting laws to address their impact on the right of publicity. California, a leader in entertainment law, passed AB 602 in 2019, which amended its existing right of publicity statute to include digital replicas. The law allows individuals to sue for damages if a deepfake is used in pornography, advertising, or other commercial contexts without consent. Similarly, New York amended its right of publicity law in 2020 to cover 'digital replicas', defining them as computer-generated, electronically created representations that are readily identifiable as the person's voice or likeness. These statutes often include exceptions for news, commentary, parody, and other expressive works, aiming to avoid conflicts with the First Amendment.
Other states have followed suit with varying provisions. Texas enacted a law in 2019 specifically addressing deepfake videos in political advertising, requiring disclosure of their use. Virginia passed a law in 2020 that criminalizes the distribution of nonconsensual deepfake pornography. As of 2023, over 30 states have introduced or enacted legislation related to deepfakes, with many focusing on the right of publicity. These laws typically provide for civil remedies, including actual damages, statutory damages, and injunctive relief, and some impose criminal penalties for malicious use.
Key Legal Challenges
The application of right of publicity laws to deepfakes presents several legal challenges. One issue is the balance between protecting individuals and preserving free speech. Courts have historically recognized that the right of publicity does not extend to expressive works, such as movies, books, or news reporting, unless the use is primarily for commercial purposes. Deepfakes used in satire or artistic expression may be protected, but the line is often blurry. For example, a deepfake that places a celebrity in a fictional movie scene might be considered transformative, while one used to sell a product would likely be actionable. Another challenge is the interstate nature of the internet, as a deepfake created in one state may be distributed nationwide, raising questions about which state's law applies. Some states have attempted to address this by including provisions for out-of-state defendants, but conflicts remain.
Impact on the Entertainment Industry
The entertainment industry has been particularly affected by deepfake technology, both as a tool for creative expression and as a threat to performers' rights. Traditional entertainment and gaming have seen deepfakes used to create realistic digital doubles, sometimes without the consent of the original actors. This has led to union negotiations, such as those by SAG-AFTRA, which have sought contractual protections against unauthorized digital replicas. In 2023, the actors' strike highlighted these concerns, with unions demanding consent and compensation for the use of AI-generated likenesses. State laws provide a legal backstop, but industry practices are evolving to address the issue proactively.
Detection and Mitigation Efforts
In parallel with legislative efforts, researchers and technology companies have developed methods to detect deepfakes. Image forensics, a field that analyzes manipulated images, has worked on techniques to identify inconsistencies in lighting, facial geometry, or audio-visual synchronization. Academic projects, such as those at MIT's Computer Science and Artificial Intelligence Laboratory and Stanford's AI Lab, have published detection algorithms. However, as deepfake generation improves, detection becomes more challenging, leading to an ongoing arms race. Some states have considered requiring deepfake creators to label their content, but such mandates face practical difficulties and free speech concerns.
Future Directions
As AI technology continues to advance, right of publicity and deepfake laws will likely need further refinement. The development of more sophisticated large language models and transformer architectures may enable even more realistic digital replicas, increasing the potential for misuse. States may consider harmonizing their laws to address interstate issues, and there have been calls for federal legislation. However, any federal law would need to balance the diverse interests of celebrities, artists, and the public. The ongoing evolution of both technology and law suggests that this area will remain dynamic, with courts and legislatures adapting to new challenges.
Conclusion
Right of publicity and deepfake laws represent a critical intersection of intellectual property, privacy, and free expression in the digital age. State statutes have provided a framework for individuals to protect their digital replicas, but the rapid pace of technological change poses ongoing challenges. As deepfakes become more convincing and accessible, the legal system must continue to evolve to ensure that individuals retain control over their identity in the face of AI-generated content.