WMDP Lobs a Comedic Punch at LLM Malicious Use, Unlearning to the Rescue!

“WMDP measures and reduces LLM malicious use with unlearning”

“Sophisticated machine-learning models are susceptible to inaudible variations. Just by subtly tweaking inputs fed into them, malicious actors can achieve myriad unwanted results, such as causing a driverless car to mistake a stop sign for a 45 mph speed limit sign.” *chuckles* It’s as if we’re living in the plot of a sci-fi movie, right?

Ironically, it isn’t until these AI systems start mastering skills that could rival a five-year-old, like recognizing shapes (like those on traffic signs), that these highfalutin tech brains realize there’s a glaring issue – these advanced machines are super naive. Yeah, that’s what the big revelation is. We’ve created systems with the naivety of a toddler. Major facepalm moment for the tech world, indeed.

So, what’s the game plan here to tackle this juvenile delinquency of our AI systems, one might wonder? Well, ladies and gentlemen, your guess is as good as ours – “unlearning”. Yeah, as if it wasn’t enough trouble teaching these machines to learn in the first place. Now, we’re kind of playing the role of the disillusioned academic guru who wants their overzealous apprentice to unlearn. One step forward, two steps back, right?

But let’s not scoff too soon. Application of this strategy has shown some promise, according to this very article. The research discusses a particularly interesting test where AI was programmed to remove data related to certain patients from a health system and lo and behold, it worked. No violation of HIPAA here. Good job, AI, *sarcastic applause*.

Still, amusing as it is that we’re now reversing the learning curve of our paragon of modern technology, there’s a decidedly sobering flavor to all this. According to the article, unlearning does possess its own set of hurdles *acting surprised*. The procedure is time-consuming and costly. Bet nobody saw that twist coming, ha!

Nevertheless, leave it to the problem solvers of the tech world to come up with innovative solutions to their own self-created problems. And that dear readers, is the beauty and irony of technology.

Just remember this, next time your futuristic new driverless car mistakes a stop sign for a 45 mph speed limit sign, don’t swear at it. It’s just having a bit of a childhood regression. Or maybe it’s being devious; after all, it could be unlearning. Who knows?

Read the original article here: https://dailyai.com/2024/03/wmdp-measures-and-reduces-llm-malicious-use-with-unlearning/