Generative AI's Likeness Problem Exposes Legal Gaps for Creatives
Generative AI can now recreate a person's voice and image with striking realism, but existing privacy and biometric laws weren't built for synthetic outputs. This gap is forcing creative industries to rethink who controls a person's likeness, how it gets compensated, and what creators can legally do with AI-generated versions of real people.
Current privacy frameworks assume a straightforward path: someone's biometric data gets captured, then processed within defined limits. Generative AI breaks that assumption. These systems don't capture an existing voiceprint or facial geometry - they create synthetic ones from scratch.
The Authorization Problem
Traditional privacy laws grant individuals rights over their personal data and establish rules for how it's collected and used. Biometric laws do the same for identifiers like voiceprints and facial measurements.
But when a generative AI system creates a synthetic likeness based on training data, the legal question shifts. It's no longer just "Was personal data processed lawfully?" It becomes "Was the creation of this synthetic likeness properly authorized?"
Even when notice and consent mechanisms are clear, applying them to AI-generated outputs proves difficult. A system might generate something new from previously available inputs in ways the original consent didn't anticipate.
What's Missing
Established privacy principles-notice, consent, and purpose limitation-still matter when personal data trains or deploys these systems. But they don't fully address the core issues emerging in creative work:
- Who can authorize the use of a person's likeness in AI form
- How creators should compensate individuals whose likenesses are recreated
- What rights creators have to distribute synthetic outputs
These questions sit at the intersection of privacy law and something broader: control over one's own image and voice in an age when they can be reproduced without capture.
For creatives using generative AI tools, this means contracts and governance rules are catching up to the technology. Organizations are developing new standards around authorization and compensation that go beyond traditional privacy frameworks.
The issue isn't going away. As synthetic media becomes more realistic and more common in creative industries, the legal and contractual ground will continue to shift.
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