Old version
August 27, 2026 00:58 UTC
40df1eed1314e8de3e4e24d09c7b9096204f7a6259661e024cf2660acba464f2
CA-V-006128
New version
August 28, 2026 00:55 UTC
1dea9b17db821478441f019d262955c4df908e8df1a06664aa95529bd3ac833d
CA-V-006169
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Change Summary
ElevenLabs revised its Safety Policy on August 28, 2026, restructuring and expanding the presentation of its five core safety principles: Safety by Design, Traceability & Accountability, Transparency, Agility, and Collaboration. The updated language adds explicit operational descriptions of how each principle functions in practice—such as rigorous pre-release model evaluations, content traceability systems designed to detect abuse while preserving user privacy, and cross-functional safety team coordination. The change clarifies ElevenLabs' stated approach to AI safety governance but does not introduce new binding obligations on users.
low severity
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0 Sentences removed
1 Sentences modified
46 Sentences before
66 Sentences after
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7We want to provide the needed transparency, helping verify the origins of digital content.” Piotr Dąbkowski Co-founder at ElevenLabs Our Safety Principles Safety by Design Safety by Design Traceability & Accountability Traceability & Accountability Transparency Agility Collaboration Our Safeguards We strive to maximize friction for bad actors attempting to misuse our tools, while maintaining a seamless experience for legitimate users.7We want to provide the needed transparency, helping verify the origins of digital content.” Piotr Dąbkowski Co-founder at ElevenLabs Our Safety Principles Safety by Design We build safety into everything we do—from the ground up.
8Our models undergo rigorous evaluations before release, and we embed safeguards directly into our products to stop and deter abuse.
9We build safety into everything we do—from the ground up.
10Our models undergo rigorous evaluations before release, and we embed safeguards directly into our products to stop and deter abuse.
11Traceability & Accountability Responsible use is non-negotiable.
12Our systems are designed to trace generated content back to the user who generated it, allowing us to detect and respond to abuse—while preserving the privacy of users who act in good faith.
13Responsible use is non-negotiable.
14Our systems are designed to trace generated content back to the user who generated it, allowing us to detect and respond to abuse—while preserving the privacy of users who act in good faith.
15Transparency People should know when they’re interacting with AI.
16We’re committed to helping our users and the public understand the provenance of the content they consume.
17People should know when they’re interacting with AI.
18We’re committed to helping our users and the public understand the provenance of the content they consume.
19Agility AI risks evolve quickly—so do we.
20Our cross-functional safety team – including technical, operational, and policy experts – rapidly designs and deploys mitigations that keep pace with emerging threats.
21AI risks evolve quickly—so do we.
22Our cross-functional safety team – including technical, operational, and policy experts – rapidly designs and deploys mitigations that keep pace with emerging threats.
23Collaboration Keeping society safe from AI misuse requires an ecosystem-level approach.
24We partner up with others to tackle some of the hardest problems in AI safety.
25Keeping society safe from AI misuse requires an ecosystem-level approach.
26We partner up with others to tackle some of the hardest problems in AI safety.
27Our Safeguards We strive to maximize friction for bad actors attempting to misuse our tools, while maintaining a seamless experience for legitimate users.
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