Quick Thought – It costs how much to say please and thank you to ChatGPT?
I wonder how much it costs to generate all those action figures, and “what does ChatGPT know about me” posts on LinkedIn?
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Linked – Uncertainty Kills Morale: How to Maintain Motivation Now
For many managers, you may be in luck because all of that uncertainty makes your employees want to stick with something stable. Assuming, of course, that the situation in your workplace is stable.
If it’s not, and you’re adding to their uncertainty? Look out.
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Linked – CIOs recalibrate IT agendas to make room for rising AI spend
I probably haven’t been thinking enough about how the budget for AI might come at the cost of several other IT projects and what that might mean in terms of old, insecure, and inefficient technology not being replaced.
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Linked – Let’s talk about AI and end-to-end encryption
As I have said before, if your data is stored somewhere outside your control, it’s only a matter of time before it gets hacked. Your AI assistant will have a lot of private information, making it a prime target.
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Rethinking eDiscovery in the Age of AI
This makes me wonder if eDiscovery productions shouldn’t be done using a solution like SharePoint, with permissions that allow the opposing side to read documents online but not download a copy. Thus, they would not have a copy to upload to a GenAI platform.
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Linked – AI Cloud Adoption Is Rife With Cyber Mistakes
I also understand why this happens, though. Even out-of-the-box AI tools like Copilot or ChatGPT require some level of data access and security. That’s a complicated task that, in normal times, would require a months-long project, at minimum.
Custom AI projects that require sharing data across your environment and allowing the model access to all that data in a way that shuts everyone up about what they can’t do with AI will lead to mistakes. We’re seeing them, just like when people rush other IT projects under fire to implement technology they don’t have time to understand.
