Google Updates Privacy Policy To Collect Public Data For AI Training via @sejournal, @MattGSouthern

Over the weekend, Google updated its privacy policy to allow the company to collect and analyze information people share online to train its AI models.

Google says it will use this information to improve its services and develop new AI-powered products.

The update to Google’s privacy policy reads:

“Google uses information to improve our services and to develop new products, features, and technologies that benefit our users and the public. For example, we use publicly available information to help train Google’s AI models and build products and features like Google Translate, Bard, and Cloud AI capabilities.”

Here’s more about the shift in policy and what it could mean for internet users.

A Shift from “Language” Models To “AI” Models

The updated policy marks a clear shift from Google’s previous terms of service.

Before this weekend’s update, Google’s policy said it used people’s data to improve “language” models.

Now, Google reserves the right to use people’s data to improve all its “AI” models and products, including translation systems, systems that generate text, and cloud AI services.

Google highlights the changes in its privacy policy archive page (green represents newly added information):

Screenshot from: policies.google.com/privacy/, July 2022.

Typically, privacy policies restrict companies to collecting data that users provide directly. With Google’s new policy, the company can use any information people post publicly online.

Privacy Concerns

Using AI systems to analyze people’s online posts raises privacy concerns.

AI technologies such as Google’s Bard and OpenAI’s ChatGPT may be taking in and reusing people’s posts, reviews, and other online content.

Although anything posted publicly online can be seen by anyone, how that information might be used is changing. The main concern is shifting from who can access the data to how it could be utilized.

Moreover, the legality of this data collection method is still up in the air.

As we move forward, expect courts to grapple with complex copyright issues.

Web Scraping

The issue of web scraping has caught the attention of high-profile tech figures like Elon Musk, who has been vocal about his concerns, even blaming several recent Twitter mishaps on the platform’s efforts to prevent data extraction.

Over the weekend, Twitter curtailed the number of tweets users could view per day, rendering the service nearly unusable. Musk attributed this to an essential response to “data scraping” and “system manipulation.”

The prevalence of tech giants’ web scraping practices is now a pivotal discussion in consumer data use and privacy debate.

How To Protect Your Data

If you’re concerned about the changes to Google’s privacy policy, here are some steps you can take to prevent Google from using your data to train its AI systems:

In Summary

Google’s update allowing the company to collect and analyze public data to train its AI systems highlights important issues.

First, as AI technologies become more advanced, tech companies have an increasing appetite for data. However, this data collection should be done legally and ethically, with users’ consent and knowledge about how their information is used.

Second, people should thoughtfully decide what they share online and be aware that public posts may be utilized in ways that are hard to foresee.

While AI promises many benefits, it introduces new challenges we must overcome to build a responsible future with AI.

Featured Image: Ian Dewar Photography/Shutterstock