Abstract Title
Developing AI/ML for Online Age Verification
Abstract
Most online age verification tools require users to simply hit “yes” or “no” indicating they are above the specific age that an age-gated site might need, allowing users an easy out if they are not the required age. Some age-gated sites require users to prove their age with government-issued records which is a very invasive way to validate a user's age. We want to create a tool using AI and machine learning that will allow all users to confirm their age in a simple, non-invasive way. This research is important because it will prevent minors from having inappropriate internet access and allow vendors to ensure their users are of age. To emphasize, our main goal in this research is to create a non-invasive, interactive, and accurate tool to identify a user’s age online.
Developing AI/ML for Online Age Verification
Most online age verification tools require users to simply hit “yes” or “no” indicating they are above the specific age that an age-gated site might need, allowing users an easy out if they are not the required age. Some age-gated sites require users to prove their age with government-issued records which is a very invasive way to validate a user's age. We want to create a tool using AI and machine learning that will allow all users to confirm their age in a simple, non-invasive way. This research is important because it will prevent minors from having inappropriate internet access and allow vendors to ensure their users are of age. To emphasize, our main goal in this research is to create a non-invasive, interactive, and accurate tool to identify a user’s age online.