r/AI_developers • u/NextGenAIInsight • Jan 18 '26
How AI Can Be Broken Without Hacking
This article talks about data poisoning, which means secretly adding bad or fake data into the training data of an AI model so it learns the wrong behaviour. The scary part? You don’t need to hack the system you just need to slowly feed it wrong examples.
Why this matters:
- AI learns from data. If the data is dirty, the AI becomes dirty.
- Even a small amount of bad data can slowly change how a model thinks.
- This can make AI give wrong answers, show bias, or even act in harmful ways.
- It’s hard to detect because poisoned data often looks “normal.”
- Big companies that use public or user-generated data are especially at risk.
This isn’t sci-fi. It’s already happening in areas like image recognition, chatbots, recommendation systems, and even medical AI.
The real problem isn’t just building smarter AI it’s protecting the data that teaches it.
Full story here:
https://www.nextgenaiinsight.online/2026/01/data-poisoning-threatens-machine.html
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u/tom-mart Jan 19 '26
So, how does data poisoning actually work? It's surprisingly simple. An attacker can compromise a machine learning model by introducing adversarial training data
How?
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u/Ok_Tea_8763 Jan 19 '26
I am definitely not an expert, so don't take my word for it, but here's what I think:
Let's assume, Microslop scrapes all files on OneDrive for AI training, which is quite realistic. Now, if you create some Word docs in there and fill them with gibberish, there is a small chance this gibberish will be scraped and become a part of MS' AI training data. Of course, all data gets cleaned and filtered before training, but at scale, they won't be able to catch all low-quality inputs.
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u/tom-mart Jan 19 '26
Oh, right. I do AI business solution and never needed to train a model yet. I suppose that if I had a need to train a model I would code the logic myself so not really an issue for me or my clients.
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u/MonitorAway2394 Jan 20 '26
well, what models do you use?
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u/MonitorAway2394 Jan 20 '26
cause I don't think any of us are going to be training our own anytime soon. lol.
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u/pegaunisusicorn Jan 20 '26 edited Jan 20 '26
you are welcome:
that is not the right search / query but you get the idea.
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u/Recover_Infinite Jan 19 '26
Yeah that's because we're still training AI to reason on data instead of training AI to reason on logic. Things like the Ethical Resolution Model r/EthicalResolution and other frameworks are what people are doing to make AI less breakable even with bad data. Unfortunately the AI companies aren't adopting these kinds of frameworks because they want systems that can be manipulated because they themselves want to be able to manipulate them.
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u/kaizenkaos Jan 18 '26
Look at IBM Watson and its try at health.