The “Opt-In by Default” Strategy: When Public Posts Become AI Training Material
- The White Hatter
- 3 hours ago
- 4 min read

Caveat- This article builds on a recent piece we published titled “Instagram Photos May Now Be Used to Create AI Images by Other Users. (1)” In that article, we highlighted that this issue extends well beyond Meta. Companies such as Google, OpenAI, TikTok, and many other major technology providers are also developing and deploying artificial intelligence systems that can interact with, analyze, and in some cases generate new content using publicly available information. The broader conversation is not about a single platform, but about how the rapid advancement of generative AI is changing the way publicly shared content can be accessed, interpreted, and repurposed across the digital ecosystem.
When publicly shared content becomes raw material for artificial intelligence without explicit consent, the boundary between visibility and unrestricted availability begins to dissolve. What was once shared to be seen can now be repurposed, transformed, and reused in ways the original creator may never have anticipated.
For many years, we have encouraged parents, caregivers, youth, and teens to think carefully before posting photos, videos, and personal stories online. That advice was never about creating fear. It was about helping families understand an important reality of the internet, “Once something is shared publicly, we often lose a significant amount of control over how it may be be used.” Artificial intelligence has now introduced another layer to that reality.
Many technology companies are moving toward what could be described as an “opt-in by default” model. Rather than asking users for clear, informed permission before their public content is used in new AI features, these systems often assume participation unless a user actively changes their settings or removes their content from public view.
From a legal perspective, this may comply with a platform’s terms of service. From an ethical perspective, however, it raises important questions. We would argure that there is a meaningful difference between making a photo publicly visible so that another person can view it, and having that same photo become raw material for AI systems capable of generating entirely new images, videos, or other digital content. Those are not the same thing.
Most people understand what it means for someone to see a public photograph. Far fewer understand that the same image may now be referenced by AI to create content that never actually happened, without the original person ever knowing their image played a role.
This shift reflects a broader change in how our online content is being viewed. Historically, posting publicly meant sharing with other people. Increasingly, it also means sharing with algorithms, machine learning systems, and generative AI models designed to analyze, interpret, and repurpose what we post.
For parents and caregivers, this creates an important conversation to have with children and teens. Before posting, encourage them to ask questions such as:
Who can see this?
Who might be able to copy it?
Could this image be used in ways I never intended?
Would I still be comfortable if someone used this photo years from now to generate something entirely different?
These are no longer hypothetical questions, they have become practical digital literacy skills. This does not mean families should stop sharing photos online altogether. Public sharing continues to have many positive benefits, from celebrating milestones to staying connected with family and building supportive communities. The goal is not to create fear, but to encourage intentional decision-making.
It may also be worth reconsidering which images are shared publicly. We now recommend limiting the number of high-quality, front-facing photographs that clearly capture facial features, particularly of children. While no single strategy can eliminate risk, reducing the availability of highly detailed facial images may decrease the amount of material that others, including AI systems, can easily use to create convincing synthetic media.
Parents and caregivers should also take time to review the privacy settings on the platforms their family uses. Many services now provide options to make accounts private, limit who can view content, or reduce how public information is accessed. These settings will not eliminate every risk, but they can provide families with greater control over who has access to what they choose to share.
Perhaps the larger issue is one of digital sovereignty. Digital sovereignty is the principle that individuals should retain meaningful control over their own digital identity, personal information, and online content. While we often think of sovereignty in relation to nations, it also applies to people. Families should have the ability to make informed decisions about how their digital lives are used, not simply discover after the fact that their publicly shared content has become part of an AI ecosystem they never intended to participate in.
As artificial intelligence continues to evolve, digital literacy must evolve with it. Teaching children how to create content is no longer enough. They also need to understand how that content may be collected, analyzed, transformed, and reused by technologies that did not exist when they first pressed the “Post” button.
Technology will continue to change. The principles of informed consent, thoughtful sharing, and personal agency should not, because digital sovereignty begins with something very simple, yet increasingly important which is , maintaining as much control as reasonably possible over your own digital identity and the content you choose to share.
Digital Food For Thought
The White Hatter
Facts Not Fear, Facts Not Emotions, Enlighten Not Frighten, Know Tech Not No Tech
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