Our approach to age prediction
21–30 of 235 posts
Re: Our approach to age prediction
#22When we look at how fast and coordinated the rollout of age verification has been around the globe, it's hard not to wonder if there was some impetus behind it. There are dark sides to the rollout that EFF details in their resource hub: https://www.eff.org/issues/age-verification There is a confluence of surveillance capitalism and a global shift towards authoritarianism that makes it particularly alarming right now.
Re: Our approach to age prediction
#23Re: Our approach to age prediction
#24Hard no. It's so easy to get "flagged" by opaque systems for "Age verification" processes or account lockouts that require giving far too much PII to a company like this for my liking. > Users who are incorrectly placed in the under-18 experience will always have a fast, simple way to confirm their age and restore their full access with a selfie through Persona, a secure identity-verification service. Yea, my linkedi…
New boss, same as the old boss.
Re: Our approach to age prediction
#25>behavioral and account-level signals, including how long an account has existed, typical times of day when someone is active, usage patterns over time, and a user’s stated age. Surely they're using "history of the user-inputted chat" as a signal and just choosing not to highlight that? Because that would make it so much easier to predict age.
Re: Our approach to age prediction
#26They're trying to make ChatGPT more attractive to advertisers.
Is it not in OpenAI's best interested for them to accidentally flag adults as teens so they have to "verify" their age by handing over their biometric data (Persona face scan) or their government ID? Certainly that level of granularity will enhance the product they offer for their advertisers.
Re: Our approach to age prediction
#27Re: Our approach to age prediction
#28Re: Our approach to age prediction
#29I imagine they're building this system with the goal of extracting user demographics (age, sex, income) from chat conversations to improve advertising monetization. This seems to be a side project of their goal and a good way to calibrate the future ad system predictions.
Re: Our approach to age prediction
#30It’s absolutely crucial for effective ad monetization to know the users age - significant avenues are closed down due to various legislation like COPPA and similar around the world. It severely limits which users can even be subject to ads, the kind of ads, and whether data can be collected for profiling and targeting for ads.