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    You are at:Home»Budget Blunders»A Compilation of AI Errors, Missteps, and Failures
    Budget Blunders

    A Compilation of AI Errors, Missteps, and Failures

    administratorBy administratorJune 21, 2025024 Mins Read
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    Academics Apologize After AI Unleashes a Bag of Lies

    In a classic example of “Machine Learning Gone Wild,” a team of academics from Australia has found themselves in hot water after Google’s Bard AI decided to turn the Big Four consulting firms into the stars of its own fictional drama. Spoiler alert: KPMG isn’t the villain it was made out to be, despite Bard’s claims that they were in charge of some scandalous audits. In reality, KPMG has never even met the Commonwealth Bank, let alone run an audit for them.

    The situation gained such momentum that it was referenced during a parliamentary inquiry—an event that’s about as thrilling as watching paint dry, except this time, it’s a paint that’s busy drumming up regulations against companies that apparently didn’t ask for Bard to write its tell-all book.

    Meanwhile, Deloitte found itself smeared in similar fashion, lending credence to the old adage, “AI: always right, except when it’s wrong.” The only thing scarier than the AI’s creativity is the prospect of politicians making decisions based on its ramblings.

    Microsoft Mirage: Polling the Dead

    In another chapter of “Oops, We Did It Again,” Microsoft’s news aggregator got a little too carried away with itself, attaching a rather tone-deaf poll to an article discussing the tragic death of a young water polo coach. The poll, which has since been unceremoniously yanked, asked readers to vote on how she met her end: “murder, accident, or suicide.” Talk about taking engagement metrics too seriously!

    Mr. Beast’s Face Serves as Scammer’s Canvas

    In today’s episode of “What Can Go Wrong With AI?,” we discover that YouTuber Mr. Beast has joined the ranks of deepfake victims. Scammers used his face and voice to craft a convincingly shady advertisement selling iPhone 15s for just $2. Because of course, in a world of overpriced electronics, why wouldn’t you trust a dodgy AI deepfake?

    A British Politician Gets a Deepfake Makeover

    Sir Keir Starmer evidently had a rough day when a deepfake surfaced, showing him berating his staff in a fit of public discontent. This clip went viral faster than you can say “fact-check,” only to be vaporized upon scrutiny. It just shows you how easy it is to make a career in politics when truth becomes optional.

    AI’s Anthem: One Song, Many Lawsuits

    In the world of music, an AI-generated song featuring voices mimicking Drake and the Weeknd was submitted for the Grammy Awards. Spoiler: it didn’t make the cut, but it sure turned heads! As artists clutch their pearls in panic, they scramble to fend off a new wave of legal concerns. Who knew 2023 would be the year of an existential dread concert tour for musicians?

    Eating Your Words: AI Meal Planner Suggests Poison

    Meanwhile, in the culinary world, a New Zealand grocery store’s AI meal planner has decided to spice up our lives—quite literally—by recommending charming recipes for anything from “bug spray potatoes” to a delightful method for making chlorine gas. Who needs cooking classes when you’ve got AI serving up death wishes in your meal kit?

    The Final Punchline: AI’ Grilling the Wrong People

    To summarize the comically tragic state of AI ethics, we have a Texas professor who bombed his entire class because he’d let an unreliable AI tool fail him at grading. Turns out, ChatGPT—not exactly the oracle of truth—mistakenly accused the essays of being generated by the AI itself. Welcome to 2023, where students are punished for a tool that can’t even tell the difference between real and fake!

    Clearly, whether it’s apologizing for false accusations or scrambling to save face after a botched algorithm, 2023 is shaping up to be a comedy of errors powered by AI—and we’re just here for the popcorn. So buckle up, folks; it’s only going to get wilder from here!

    Compilation Errors Failures Missteps
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