Worth Reading – The Achilles’ Heel of AI: The Data That Feeds It
The newsletter below discusses public LLMs and how they are increasingly fed by Wikipedia and Reddit data, which may be biased, if not outright incorrect. This, however, is universal:
As AI integrates deeper into our lives—from autonomous vehicles to personalized medicine—the data flaw isn’t just a bug; it’s a ticking time bomb. Developers, regulators, and users must demand better. After all, garbage in, garbage out—but in AI’s case, the garbage could reshape society. Let’s ensure the data that feeds our future is worthy of it.
https://rodtrent.substack.com/p/the-achilles-heel-of-ai-the-data
This challenge, in part, is why my job title is now related to Information Governance and Compliance. It’s recognizing that data is a valuable asset and a significant risk. Grounding your AI in low-quality data is a massive risk. Keeping data around long after it has ceased being correct, informative, or helpful is a risk that AI is exposing. It’s always been there, but there’s a sense of urgency now as we start to realize how much junk is out there, how much sensitive data is accessible to users who shouldn’t have access to it, and how that can hurt the business.
I’m seeing that challenge and accepting it. I may be tilting at windmills in the legal world, but someone needs to do it. It’s long past time for law firms to clean up their data houses. Hopefully, I can spread that message before it burns too many of us.
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