Once we discuss AI, we are inclined to give attention to outcomes: what it may possibly do, the place it’s going, the way it’s outperforming people in process after process. However far much less consideration goes to what feeds these methods — and what which means for the folks behind the information.
As a result of AI doesn’t simply be taught from details. It learns from us. From our language, our clicks, our routines, our creations. From posts scraped with out consent. From discussion board threads and pictures and even medical datasets many by no means knew have been getting used.
In 2024, The Atlantic revealed how a lot of its archive — going again many years — was used with out authorization to coach business AI fashions. Reddit, StackOverflow, X (previously Twitter), and numerous boards adopted go well with. In Might 2024, a category motion lawsuit was filed in opposition to OpenAI for allegedly coaching ChatGPT on non-public knowledge, together with emails and chats, with out customers’ data or consent.
These are pressing copyright and digital consent points. A couple of data economic system more and more constructed not on participation, however extraction.
The Phantasm of “Choose-In”
We dwell in a world the place most individuals by no means actively agreed to their knowledge coaching giant language fashions. However now, that knowledge is encoded, weighted, and regurgitated via AI instruments that form search engines like google, hiring selections, advert concentrating on, and even artistic industries.
It’s a quiet type of dispossession: the normalization of being mined, modeled, and mimicked by methods you don’t management and sure by no means will.
What We Danger Shedding
If AI turns into the dominant interface of the web — mediating what we see, how we work, and the way we talk — then who trains it, and the way, turns into a matter of energy.
When knowledge is centralized, historical past turns into editable and when methods keep in mind all the things, your freedom on-line begins to sound the hazard alarm.
That’s why AI literacy goes past learn how to use instruments like ChatGPT or Midjourney and offers with the very boundaries that we, the folks, the customers, are conscious of and vigilent sufficient to talk for.
Listed here are some frequent sense questions all of us ought to be asking:
- Who owns the information AI learns from?
- Who decides which data is emphasised or erased?
- What rights do creators, educators, and residents have over their enter?
- Can AI be skilled on moral constraints — and who defines these ethics?
And most critically: what infrastructures are we constructing to assist clear, decentralized, and self-determined fashions?
Our Place at SourceLess Labs Basis
We consider AI ought to serve human dignity, not override it. And that begins with infrastructure — the place identification, knowledge, and computation will not be trapped in walled gardens.
That is why SourceLess builds:
- Personal computation frameworks the place AI brokers function transparently and serve their customers, not simply the businesses behind them.
- Verifiable digital identities via STR.Domains, the place the person owns their credentials — transportable, encrypted, and never issued by a third-party app.
- Decentralized studying and collaboration areas — so creators and educators aren’t pressured to commerce privateness for entry.
We consider human literacy on this new period should embody infrastructural consciousness not simply learn how to use instruments, however how they’re made, maintained, and monetized.
As a result of in the long run, the methods we practice will mirror not simply our inputs however our intentions.
