Safety

As AI utilizes data generated from our online interactions, new concerns about data safety continue to arise. Often individuals engage with AI daily without their explicit consent, and when consent is provided, it usually involves lengthy and complex forms.

Our research experts examine data safety from the users’ perspective, with a focus on developing transparency methods that disclose how data may be used prior to engagement. We are investigating, designing and testing visual labels and other tools that inform users about AI data usage.

The goal of our research is to establish a standardized and enforceable labeling system, akin to nutritional labeling, that can effectively communicate data usage to consumers.