Media Technology: AI in Content Creation

Artificial intelligence is becoming an increasingly familiar production tool across the entertainment industry. It can assist with script development, dubbing, translation, visual effects, editing, music creation and promotional content. What was once regarded as experimental technology is increasingly becoming part of the ordinary creative workflow.

For the media industry, however, technological efficiency brings a different kind of challenge. Traditional entertainment contracts and intellectual property arrangements were largely developed around the assumption that creative work would be performed by identifiable human creators. AI complicates that assumption.

When a script is developed with AI assistance, when a voice is digitally recreated, or when an image is generated from a combination of instructions and existing material, a number of legal questions immediately follow. Who created the work? Who owns it? Was the underlying material lawfully used? And who is responsible if the resulting content infringes someone else's rights?

The legal significance of AI in content creation therefore lies not merely in what the technology can produce, but in how the law understands the human contribution behind that production.

Copyright protection traditionally rests upon original creative expression and identifiable authorship. When AI contributes to the creation of a work, questions can arise about the extent of human creative authorship and the protection available to the resulting material.

The important distinction is between using AI as a creative tool and allowing AI to generate content with little meaningful human creative intervention. A writer who uses AI to explore ideas and subsequently makes substantial creative choices, revisions and edits presents a different situation from a work produced almost entirely through automated generation.

For this reason, production companies and creators should maintain records showing the human creative contribution to AI-assisted works. Drafts, prompts, revisions, editing history and other records may become useful in demonstrating how the final work was developed.

This also raises an interesting question for the future of copyright: if technology increasingly assists with the act of creation, should the legal focus remain on who operated the tool, or on who exercised meaningful creative control over the final work?

The answer will have significant implications for writers, composers, filmmakers and other creative professionals.

The creation of AI-generated content is only one part of the legal discussion. An equally important issue lies behind the technology: what material was used to train the system in the first place?

AI systems may be developed using large quantities of text, images, music, recordings and other forms of content. Where such material is protected by intellectual property rights, questions may arise concerning the circumstances in which it was accessed and used.

For media companies, this issue can arise even when they are not developing an AI system themselves. A production house may use an external AI platform for editing, generating promotional material, translating content or assisting with creative work. In doing so, it may upload scripts, footage, photographs, recordings or other proprietary material to the platform.

The contractual terms governing that technology therefore matter.

Companies should understand what happens to material submitted to an AI system, whether it is retained, how it may be processed and what assurances the technology provider gives regarding third-party intellectual property.

The interesting shift here is that content owners are no longer concerned only about where their finished work is distributed. They may also need to consider what happens to that work before a new piece of content is even created.

AI has introduced another significant development in the entertainment industry: the ability to reproduce or modify voices, faces and other identifiable characteristics of performers.

A performer may consent to appearing in a particular film, advertisement or recording without necessarily intending to permit unlimited digital reproduction of their voice or likeness. The distinction becomes particularly important when a digital replica can be created and used without requiring the performer to physically participate in a new recording.

Contracts with performers should therefore address whether their voice, likeness or performance may be digitally replicated or modified, and the circumstances in which such use is permitted.

The issue is not limited to whether the technology can reproduce a person's characteristics. It concerns consent and the scope of the rights granted.

A contract negotiated before the widespread use of synthetic media may not have contemplated that a performer's voice could later be digitally reproduced for a new advertisement, dubbed version or entirely different production.

This makes contractual clarity increasingly important. The more capable the technology becomes, the more precisely the original consent may need to be defined.

AI changes the meaning of consent in media production. Traditionally, when a writer, musician, actor or other creator permitted their work to be used, the intended use was usually identifiable. A performer might consent to appearing in a particular film, or a writer might license a screenplay for a particular adaptation. AI can make that boundary considerably less clear.

A creator may agree to their work being used in one production without intending to permit that material to be processed through an AI system or used to generate new material. Similarly, a performer may consent to one recorded performance without necessarily consenting to the creation of new synthetic versions of their voice, appearance or performance.

This creates an important contractual question: does consent to use a work also amount to consent to use that work as an input for AI-assisted creation?

The answer should not simply be assumed. As AI technologies develop, contracts may need to distinguish between ordinary use of a creative work and technological uses that can transform, reproduce or generate new material from it. Clear consent becomes particularly important where the resulting use could continue long after the original production has ended.

The entertainment industry has traditionally treated scripts, photographs, recordings, films and performances as individual creative works. AI introduces another possibility: these works can become inputs into systems capable of analysing patterns across enormous collections of creative material.

This changes the nature of the legal and commercial concern.

The issue may no longer be limited to whether a particular photograph, song or screenplay has been copied. A creator may instead question whether their work has contributed to the development of a system capable of producing material in the same creative market.

For media companies, this creates a new form of rights-management challenge. Content may have value not only when it is distributed to an audience, but also when it is used as data within a technological system.

This raises difficult questions about permissions, licensing and the terms on which creative material can be accessed and processed. It also makes technology contracts increasingly relevant to media law, particularly where production companies provide their own scripts, footage, recordings or other proprietary material to third-party AI platforms.

The broader concern is that the commercial life of a creative work may increasingly extend beyond its direct consumption by an audience. A song may be streamed, a film may be licensed and a script may be adapted, but the same material may also have significance as part of the data environment from which new technology operates.

Entertainment law has traditionally connected creative identity with human creators. A film has writers, directors, performers and other identifiable contributors. A song has composers and lyricists. A photograph has a photographer. AI complicates this familiar structure.

Consider a filmmaker who uses AI to develop a visual sequence, an editor who uses AI to restructure footage, or a composer who uses AI to generate musical possibilities before substantially modifying them. The final work may contain contributions from both human decision-making and automated generation.

The difficult question is where the creative contribution of the human ends and the contribution of the technology begins.

This is not merely an academic question. It can affect copyright ownership, contractual allocation of rights and the ability to determine who may commercially exploit the resulting material.

The issue may become even more complicated as AI systems become capable of producing increasingly sophisticated outputs with relatively limited human intervention. The traditional assumption that every creative work has a clearly identifiable human author may require more careful legal analysis.

For the media industry, the practical response may be to document the creative process itself. Rather than treating AI as an invisible production tool, companies may increasingly need to record how it was used, what instructions were provided, what material was generated and what human creative decisions shaped the final output.

The future question may therefore not simply be whether AI can create, but whether the law can continue to identify a meaningful creative identity behind the work it helps produce.

AI should not be introduced into media production merely because it is efficient. Its use creates a chain of legal considerations involving copyright, contractual rights, training material, performers' identities and responsibility for the final content.

Production companies should therefore consider appropriate rights clearance, contractual safeguards and documentation of human creative contribution when incorporating AI into their workflows. Creators and performers, meanwhile, should pay particular attention to what rights they are granting and whether those rights extend to future forms of technological exploitation.

The more interesting question is perhaps not whether AI will replace human creativity. It is how much of the human contribution the law will continue to recognise when technology becomes part of almost every stage of the creative process.

The future of entertainment may be AI-assisted, but the legal framework will still have to answer a fundamentally human question: who has the right to create, control and commercially exploit what the machine produces?