AI nightmare: What happens if a neural network starts ‘seeing’ ghosts? 😱 (And how to fix it)

Halloween is approaching 🎃, and we want to share a real horror story from the IT world.

Imagine this: you’re an NLP (Natural Language Processing) specialist at a cool company. Your job is to teach an AI system to recognise ‘toxic’ or undesirable content. 🤖

One day, the system starts working… BUT INCORRECTLY! 🤯

It interprets completely innocent words, such as ‘night’ 🌑, ‘shadow’ 👻, and ‘white noise’, as reports of supernatural activity. It bans users who are simply talking about the weather. 🙅‍♀️ Panic ensues in the company chat: ‘Our AI sees ghosts! It’s cursed!’ 💀

What went wrong❓

It’s not a curse, it’s a BASIC NLP ERROR! 🐞 Someone forgot about deep contextual analysis. The system recognised words associated with ‘mysticism’ but did not understand their true role in the sentence. 😔

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