Welcome to Ask Jerry, a platform dedicated to addressing your inquiries about the smart technologies that shape our lives. With a rich background in engineering and research and development, I have spent over 15 years immersed in the world of Android and Google, and I am here to share insights and answers to your pressing tech questions.
At Ask Jerry, we strive to provide clarity on the complexities of technology. One critical aspect we often discuss is the scrutiny that images uploaded online face. This oversight is not arbitrary; it serves a significant purpose. The unfortunate reality is that some images should never see the light of day, such as those that exploit vulnerable individuals. The necessity of filtering out such content is a grim but essential task for many in the industry.
Some companies, like Meta, have taken this a step further. In July 2025, it was revealed that Meta had been training its AI on every photo uploaded to its platforms since 2007. While they claim to have ceased this practice for current AI models, they remain ambiguous about whether photo analysis continues. It’s crucial to note that this applies solely to uploaded images, as Meta also offers an opt-in service that allows random selections from users’ device libraries to be analyzed.
In contrast, other tech giants, such as Google Photos, emphasize their commitment to user privacy by stating that they do not utilize personal photos for AI training unless explicitly shared with third parties. However, the landscape of data privacy is fraught with complexity. Many tech companies have privacy policies that are lengthy and laden with legal jargon, making it difficult for users to fully grasp how their data is handled. These policies can change at any time, often without clear notification to users.
Assume the worst
In this environment, it is prudent to operate under the assumption that anything shared online—be it public or private—is not solely yours. With the rise of AI technologies, it is increasingly likely that your words and images are being utilized to enhance these systems. For instance, platforms closely associated with AI development may leverage user-generated content for training purposes. Additionally, many AI companies acquire data from various sources, meaning even seemingly innocuous posts could be included in datasets sold to the highest bidder.
This reality may not concern everyone, but it is essential to recognize its implications. Each individual must determine the significance of their data being used by companies like Google or OpenAI. Moreover, data privacy regulations vary significantly across regions; for example, the EU has stricter rules compared to the U.S. Therefore, it is wise to approach online sharing with caution, understanding that once something is posted, it may be out of your control. Being mindful before sharing can help mitigate potential risks, allowing you to navigate the digital landscape with greater awareness.
