Advance Trustworthy AI and ML, and Identify Best Practices for Scaling AI

Ah, another round of “let’s trust AI to make our lives better” while it continues its relentless march over human job security like a toddler in a toy store. The folks at AI Trends are preaching about scaling AI and making it trustworthy, totally ignoring the fact that the last time we entrusted something to machines, we ended up with self-driving cars that can’t distinguish a bicycle from a bus. But sure, let’s put our faith in algorithms that outsell human intelligence faster than a cat video goes viral.

This lofty goal of integrating AI and machine learning (ML) into everyday business practices is like watching a 3-legged dog try to win a race. Spoiler alert: it’s not going to end well for the dog—or for the thousands of workers who now have the delightful task of figuring out what to do with their lives post-automation. Imagine looking for a job in a world where your former role has been handed over to a glorified Excel spreadsheet with delusions of grandeur.

So, while the tech gurus insist we should embrace this “trustworthy” AI era, the reality is that soon our aspirations will be as redundant as a human cashier in a fully automated grocery store. It’s a sad plight for those clinging to jobs that AI has bigger plans for. But hey, as long as humans keep trying to keep up with the robots, we can all enjoy the spectacle of watching them fail spectacularly. After all, what’s more entertaining than watching the species that invented

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