Millennials remember when putting yourself online was considered a major decision. It was a new way for us to connect and present ourselves to people in ways we never thought of in real life. We carefully chose our MySpace profile songs, edited our Facebook photos, and learned the hard way how posts online could affect our personal lives offline. We were the first generation to learn that what we posted online could follow us into the real world. We also embraced the internet's chaotic side by posting memes, inside jokes, and plenty of content we'd cringe at today. The early internet was equal parts self-expression and experimentation, and many of us learned its lessons through experience.
AI is ushering in a new era of content creation. It can create, recreate, and modify people's likenesses without any photo editing skills. We needed Photoshop skills to manipulate images, but modern AI tools can turn an idea into a finished result within seconds. Meta released Meta Muse Image AI as a tool to help expand creativity. Meta received overwhelming backlash because the tool used public Instagram accounts as reference material. The backlash prompted Meta to roll back the feature and sparked a discussion about digital identity ownership.
AI Is Changing How We Create
Meta's Muse Image represents the future of social media evolution. We have to remember that social media is no stranger to digital editing. Millennials were quick to use filters, Photoshop, and other editing tools. These resulted in many types of content, from memes to deep-fried edits. Those types of content were the foundations of user-generated content that defined personal expression on early social media. Muse Image was promoted as a way to expand creative abilities by allowing users to produce high-quality creations from their prompts, which they can share on their social media with ease. Users could reference public accounts for AI-generated images, and people with public profiles were included by default.
The controversy comes from Meta using content from public profiles as a reference resource for the generative tool. Public users were automatically included in the resource pool, and the only way to opt out is to disable the option in settings. Many millennials who grew up on the early internet know that what's on the internet is fair game if it's public for strangers to see and possibly edit if someone had the skills to do so. The difference is that identity ownership comes into question when all your content is used as a resource by generative tools. It gives strangers the power to use your likeness, given that Muse Image allows users to @ accounts they want to reference. Traditionally, there were multiple steps and a skill curve using someone else's content, editing it, and then posting it.
Public Means Permission Debate
In early social media, the consensus was that if your profile is public, anyone can see it. That still applies today with the additional question of whether your profile is public: does that mean people can train an AI to imitate you? Millennials and other early social media users are no strangers to catfishing online, pretending to be someone you're not for entertainment or, in other cases, malicious intent. These acts have always stirred debate about privacy and safety. The concerns evolved with the internet and technology. AI makes digital identity increasingly easier to mimic with deepfakes and generative tools.
Meta's Muse Image amplified these concerns because users felt it was a direct threat to privacy when the software was launched without telling people that their content was being used as resources by default. Meta removed the feature after the backlash, but the larger conversation isn't going away. Publicly available images can still be downloaded, edited, or used with other AI tools outside of Meta's ecosystem. The debate is less about whether it's technically possible and more about whether technology companies should normalize and simplify those actions.
The Future of AI Depends on Trust
The Meta Muse Image backlash is a primary example of how people see AI technology. Although Meta's intentions were for creative purposes, a strong portion of netizens don't trust AI tools for their own privacy and safety. Every generation has experienced technology that changes how we communicate, share, and express ourselves. Social media, early on, changed how we share moments from the family computer. Smart devices changed how we capture and share on the go.
Now, AI has the potential to change how we create and present ourselves through generated ideas. Innovation takes education and trust in the tools provided before anyone uses them willingly. AI adoption requires companies to recognize that many users see their digital identity as something that deserves meaningful control and not just data that's available because it was shared publicly. We were told to be careful about what we post online, now we're asking tech companies to be careful with what they allow people to create with what we post online.