Australia’s under-16 ban sets a tough challenge for social media platforms • FRANCE 24 English

Key Concepts

• Age Verification
• Australian Age Verification Laws
• Confidentiality Concerns
• Third-Party Age Verification Services (e.g., KD)
• Bank Account Linking (e.g., Snapchat)
• AI-Powered Selfie Age Estimation
• Facial Pattern Analysis
• Yoti (AI Age Estimation Startup)
• Behavioral Analysis (e.g., birthday posts, content consumption)
• Privacy Concerns
• Accuracy Concerns
• VPN Bypass

Age Verification Mandate in Australia

Australian social media companies are now legally required to verify the age of their users. This mandate stems from new regulations aimed at protecting younger users online.

Challenges and Confidentiality

A significant challenge in implementing age verification is the confidentiality of user data. Companies are prohibited from requesting scans of official identification documents due to privacy concerns. This restriction necessitates alternative verification methods.

Alternative Age Verification Methods

Several alternative approaches are being employed by social media platforms:

• Third-Party Verification Services: Some platforms are outsourcing age verification to external companies. For instance, KD, based in Singapore, is mentioned as a service provider.
• Bank Account Linking: Snapchat is utilizing a method where users connect their Australian bank accounts to confirm their age. This leverages existing financial data for verification.
• AI-Powered Selfie Analysis: Another prominent method involves users submitting a selfie. This photograph is then analyzed by artificial intelligence (AI) to estimate the user's age.
  • Mechanism: Meta, for example, employs an algorithm developed by the British startup Yoti. This AI examines various patterns within the facial features.
  • Process: These facial patterns are converted into numerical data. The AI then uses mathematical models to interpret these numbers, identifying patterns that are more indicative of certain age groups. As stated in the transcript, "if you see these patterns in the face it's much more likely to be a 40y old than a 20y old."
• Behavioral Analysis: Platforms can also infer age by analyzing user behavior on their profiles. This includes monitoring activities such as birthday posts or the type of content a user has consulted. This method builds upon existing practices used for targeted advertising.

Criticisms and Concerns

Despite the implementation of these methods, critics raise significant concerns regarding:

• Privacy: The collection and analysis of personal data, whether through bank accounts, selfies, or behavioral patterns, raise privacy issues.
• Accuracy: The reliability and accuracy of AI-driven age estimation and behavioral analysis are questioned.

Vulnerability to Circumvention

A notable weakness identified is the ease with which these age verification methods can be bypassed. The use of a Virtual Private Network (VPN) to reroute a user's connection address to another country can circumvent these checks.

Conclusion

The Australian government's age verification mandate has pushed social media companies to adopt diverse and often technologically advanced methods for confirming user ages. However, the inherent tension between privacy requirements and the need for robust verification, coupled with the technical vulnerabilities of these systems, presents ongoing challenges. The reliance on third-party services, financial data, AI analysis, and behavioral monitoring highlights the evolving landscape of digital identity verification, while the ease of VPN bypass underscores the persistent difficulties in enforcing such regulations effectively.