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YouTube Expands Likeness Detection Technology To Protect Celebrity Identities

Reinventing Content Protection For The Digital Age

YouTube is expanding its content protection tools by introducing likeness detection technology designed to identify AI-generated faces. The system builds on the company’s existing Content ID infrastructure, extending its capabilities beyond copyright to address the growing use of synthetic media.

Empowering Entertainment Industry Leaders

The tool is designed for talent agencies, management companies, and public figures seeking greater control over how their image is used online. Agencies, including CAA, UTA, WME and Untitled Management, have contributed feedback during development.

Participation does not require individuals to operate their own YouTube channels. Once enrolled, the system scans uploaded content for unauthorized use of a person’s likeness. Rights holders can request removal, flag privacy violations, or submit copyright-related claims, while existing policies around parody and satire remain in place.

Future Innovations And Regulatory Engagement

Further development is expected to include voice detection, expanding protection to cover unauthorized audio use. At the same time, YouTube is supporting regulatory efforts such as the NO FAKES Act, which aims to establish legal safeguards against misuse of AI-generated identities.

A Strategic Move In The Face Of Deepfake Challenges

Although the current volume of removals remains limited, the rollout reflects a broader shift toward proactive moderation of AI-generated content. The expansion of likeness detection signals an effort to address risks associated with deepfakes while strengthening protections for creators and public figures.

Google Sets New Android App Rules To Cut Memory Use

Google is introducing new quality requirements for Android apps as developers face tighter constraints on device memory and broader hardware supply pressures.

The company announced two new requirements this week. One focuses on reducing apps’ memory use and improving code efficiency, while the other requires apps to restore users’ sign-in status when they move to a new Android device.

Google Sets New Memory Performance Rules

Google said the mobile industry is facing “significant hardware supply constraints that are altering device memory availability,” which could affect app performance and the user experience.

Under the new rules, developers will need to meet thresholds covering areas including dynamic memory and bitmap usage. Additional code optimisation requirements are designed to reduce slowdowns and crashes linked to excessive resource use.

Google is also rolling out tools that alert developers when their apps exceed the new limits. More diagnostic features are planned later this year, including deeper analysis through Android’s Memory Limiter, which restricts excessive memory use.

Developers have until February 2027 to comply with the new standards, according to Google’s Android Developer documentation.

Zero-Tap Sign-In Requirement Starts In 2027

A separate requirement will apply to all apps distributed through Google Play. By April 2027, apps that use optional or mandatory sign-ins must automatically restore a user’s sign-in state when they move between Android devices.

The feature will rely on Android’s Restore Credentials API, which is designed to transfer sign-in credentials during device migration without requiring users to log in again.

Google said the new standards are intended to help developers maintain app performance and simplify device transitions as device specifications and memory availability change.

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