“A Light-hearted Guide to Constructing the Ultimate AI Development Platform within Government Institutions”
“Best Practices for Building the AI Development Platform in Government”
“AI is in effect a new type of IT that can be embedded into existing public infrastructure to provide advanced capabilities. Government and decision-makers need to know how to create an environment conducive to AI innovation and deployment, how to build an AI ecosystem, and how to ensure AI works in the public interest.”
Newsflash, it turns out AI is essentially a new flavor of IT. Who knew, right? Funnily enough, the public infrastructure seems eager to swallow this shiny pill and hopes it works magic to apparently provide “advanced capabilities.” And it’s not just any regular folk who need this enlightenment. Oh no. We are talking about the real stars of the show: top-tier decision makers and legislators who should be leading the pack in the AI race. Bless their hearts, they need to figure out the space where AI can strut its stuff, build an ecosystem where AI thrives (because it’s not like there is a ton of stuff they should be doing), and – get this – ensure AI serves public interests. No pressure y’all.
Presumably, these tech wizards and policy eggheads will need to pull a rabbit out of the hat, and make magic happen. Surprise surprise, they need data for that. Ten brownie points for whoever guessed it right. Data helps build AI models – take a moment to chalk that super-secret, earth-shattering fact – but not any old data will do. Nope. You need ‘volume, variety and velocity’, much like the mantra of a supercharged salesman on retail day.
But wait! There’s more. The kind of performance we are looking for from AI would make a Broadway star sweat. To pull off this showstopper, creating the right AI ‘strategy’ is the golden ticket. Strategy here translates to being opportunistic and ensuring that each project benefits from the wisdom learned from the last failure, or success. Rome wasn’t built in a day, and AI isn’t perfected in a single project.
And finally, the end of this insightful saga leaves the reader with a grave concern – the danger of AI development becoming centralized. But hey, putting all eggs into one basket is what governments do best. So, why not with AI?
Please understand, dear reader, the notes of sarcasm in this piece are intended as gentle nudges for everyone to stop over-complicating this and instead, appreciate the importance of AI in government infrastructure. After all, sarcasm is just one more service offered here.