The primary ingredient for AI-powered chatbots like Google’s Bard or OpenAI’s ChatGPT is data. These models become smarter as they learn from more data. Twitter’s decision to impose read limits was motivated by a desire to prevent AI companies from scraping data for training their models. Now, Google has clarified its stance on using user data to train Bard and other generative AI content.
Google recently updated its privacy policy, stating that it will rely on publicly available data for training its AI models. The updated policy emphasizes that Google uses information to enhance its services, develop new products and features, and benefit its users and the public. This includes leveraging publicly available data to train AI models like Google Translate, Bard, and Cloud AI capabilities.
It’s important to note that Google will not use private user data for this purpose. However, any information that is publicly accessible may be utilized. Google’s privacy policy also confirms that when users are signed in, the company collects and treats the information stored in their Google Account as personal data.
The collection of user data by Google serves the purpose of providing better services to its users. This ranges from understanding language preferences to more intricate matters such as determining the usefulness of ads or identifying important connections within users’ online networks. The types of user data collected by Google encompass browser and device settings, operating system details, mobile network information, and app interactions. This includes IP addresses, crash reports, system activity, as well as the date, time, and referrer URL of user requests.
Overall, Google’s data collection practices aim to improve its services while respecting user privacy controls and ensuring that personal data remains protected.
