Age verification technology is much more accurate for age bands than for a specific age, the Chief Technology Officer (CTO) of Bureau, Sandesh GS, explained in an interview with MediaNama.
For context, Bureau provides unified risk decisioning services in a range of industries, including financial services, e-commerce, online gaming and online dating.
“I think it’s [the accuracy of age verification services] largely driven by the confidence of machine learning models. While the accuracy is reasonably good or constantly gets improved back by LLMs (large language models), but still it’s not to the point where it can be a decimal-level accuracy. That’s why if you want a band, it works reasonably well, but when we want a point in time, it does not work as well,” he pointed out.
His comment came in the context of a question about Australia’s age verification technology trial earlier this year, which pointed out the presence of “buffer zones” (two to three-year periods) around age gates where the age assurance methods may have false positives/negatives.
Notably, buffer zones, and the efficacy of age verification systems have gained significance since the government notified the Digital Personal Data Protection Rules (DPDP Rules) in November this year.
Both the rules and the overarching data protection law, mandate that platforms must seek verifiable parental consent before processing the data of anyone under the age of 18. To do so, platforms may first need to identify who is 18 and who is not, which is where age verification technologies may take centre stage.
Note: The interview transcript has been edited for brevity and clarity, you can watch the complete interview via the attached video below.
MediaNama: Could you give us a sense of what is going on in the realm of age verification today? What is working and what is not working?
Sandesh GS, Bureau: I think in age verification, there are majorly two, three techniques that everybody follows. One is looking at biometrics. Second is tying them back to a device. Then third is looking at your documentation, whether it is Aadhaar or any other form of government documentation, to make sure you are allowed to access the content that you’re looking at.
What is not working? There is a significant form of identity theft going on, whether it is using deepfakes or AI-generated tools or using traditional methods. That means people will forge the document, upload someone else’s documents, or put their photo on the documentation and then inject someone else’s image or likeness. So a lot of compromise in the way of documentation. As you all know, devices get shared, and it’s hard to map a biometric constantly to a device. So this forces a lot of our merchants to constantly bring back friction in every step of the customer journey if the balance is not figured out. So this is where…
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