When AI Chat History Bites
What do your AI chats say about you? Would you want someone else reading them and drawing their own conclusions? Maybe take a look at how long you keep them.
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Worth Reading – The Hidden Dangers of AI Chat History
There’s the obvious privacy issue with public AI tools, but people often overlook another reality: at work, someone likely has the same access to your AI interactions as they do to your email and Teams messages. As a company using AI, you’re also responsible for all that data. You must protect it, keep it private, and, if required, collect it in response to a lawsuit or investigation.
Are you prepared to do that?
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Worth Reading – AI Can Accelerate a Culture—Good or Bad
Frankly, AI will be an expensive way to learn that your underlying processes or data were suspect all along.
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Worth Reading – Cybersecurity Awareness Month
I love this year’s theme: Don’t Make It Easy for Them. https://www.staysafeonline.org/cybersecurity-awareness-month I remember growing up and hearing adults I knew in law enforcement talk about someone breaking into your house. The general consensus then was that a house alarm or car alarm wouldn’t stop someone skilled and dead set on getting into your house…
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Worth Reading – Enterprise AI Has a Data Problem, Not a Model Problem
If I’m being honest, every time I hear someone say they don’t like Copilot because ChatGPT or Claude is just better, I have to wonder about that. The models available inside Copilot aren’t that different, but there is one big difference. Copilot has access to all your email, OneDrive documents, SharePoint files, etc.
That’s been a selling point for Microsoft, but it might also explain why the results differ. Your data might be making the results worse than when you use a different tool that isn’t connected to your Microsoft environment.
What is your AI using as its source of truth?
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Worth Reading – ‘Just Record Every Meeting’ Is The New Norm. It’s Also A CIO Headache
If your data gets breached, how many people will you have to notify? Not just the transcript of what they said, but the recording of them- the audio of their voice, etc. has been breached as well. We don’t often talk about the risk that creates, but it does. Deepfake audio and video tools don’t require much existing video or audio of someone to generate convincing fakes. How much liability do you have for content you lost in a breach if it’s used that way?
