Future of Web-Scale Training Sets: Unpacking Data Poisoning Concerns

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In summary, the conversation discusses an article from The Economist about poisoned datasets and the future of web-scale training sets. It references an arxiv article and considers whether data poisoning is a long-term issue, a start-up problem, or an overreaction. It is noted that data poisoning has been used in the past to trick search engines, and it is suggested that AI companies will need to program their AI to avoid certain patterns. The opinion is a mix of viewing data poisoning as both a long-term issue and an overreaction.
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Frabjous
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I read an article in the April 6 edition of The Economist (regretfully behind a paywall) about poisoned datasets. Here’s an arxiv article it referenced.
https://arxiv.org/abs/2302.10149

What is the future of web-scale training sets? Is data poisoning a start-up pang, a long-term issue or an overreaction.
 
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Data poisoning started way back when with keyword stuffing to trick search engines. Nothing new here. If the public web is the source, AI companies will have to program their AI to avoid certain patterns like search engines already do today.

So I guess my opinion is a mix of long-term issue and overreaction.
 
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