For those who don't know, I'm working increasingly on and with Glamorous Toolkit - ... I have become fascinated by our willingness to blame humans for problems that are created by our toolsets ...gtoolkit.com
... I saw this last night at Cloud Camp. Apparently, the issues with understanding, explainability and observability in AI are down to humans' inability to deal with complex environments... no, they're not. The problem is with the tools and the type of tools we are creating ...
... we've imported concepts from a physical world where tools are constrained by physics - hence a hammer is a hammer, a drill is a drill - into a world without such constraints. Rather than building contextual tools, we've built constrained tools.
And we now seem willing to blame humans (who are extremely well adapted to deal with multiple contexts) for failing to effectively use non-contextual tools to deal with highly contextual environments rather than blame the tools that tool-makers have forced upon everyone ...
... to the point that some are now saying that only AI can solve this for us.
And by this, they don't mean that AI can help us build more contextual tools but rather that AI can feed in the "right answers" and "metrics" into our constrained tools because AI can take care of all that contextual stuff ...
... it's the business equivalent of saying, "All that mapping stuff and discussion about evolving landscapes is just too difficult. We need an AI to populate our SWOT diagrams and give us OKRs to use".
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