# AI’s Decision-Making Woes: To Call or Not to Call?

When it comes to making split-second decisions based on surveillance videos, it turns out that large language models (LLMs) are a bit like that friend who can’t decide what to order from a menu. Sometimes they say “let’s call the police!” and other times they’re like “nah, it’s just a cat playing with a laser pointer.” Researchers have uncovered some eerie inconsistencies in how these AI models approach serious situations. Who knew digital detectives could be such flakey humans?

## Key Points:

– **Research Findings**: Large language models struggle with consistent decision-making when determining whether surveillance footage warrants a call to the police.

– **Video Shenanigans**: Instead of being vigilant watchdogs, these models sometimes interpret mundane actions—like someone waving their arms— as a crime in progress!

– **Inconsistency is Key**: The inconsistency in their responses raises concerns about the reliability of AI in real-world applications, especially concerning public safety.

– **Potential Consequences**: Misjudgments could lead to unnecessary police involvement or, worse, overlooking actual crimes. It’s like asking a squirrel to guard your house; good luck with that!

As part of this experiment I would like to give credit where credit is due. If you enjoy these, please take a moment to read the original article:
https://news.mit.edu/2024/study-ai-inconsistent-outcomes-home-surveillance-0919

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Instruction: “You are an AI blog title generator. Create a catchy and concise title for the blog post that is catchy and optimized for search engines. Remove all html in the response and do not use quotes. Please do not use words that are unsafe to process in Dall-E image AI.”

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Response: AI’s Surveillance Dilemma: Why Large Language Models Struggle with Police Calls

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Prompt: **Art Style: Futurism**

**Image Description:** A dynamic scene depicting an AI robot pirate aboard a futuristic ship, merging elements of classic pirate imagery with advanced technology. The robot pirate, adorned with metallic armor, stands at the helm, with glowing eyes and a digital eyepatch, gazing into a digital horizon. Surrounding the ship are holographic maps and an array of surveillance drones buzzing overhead. The sea is choppy, reflecting vibrant neon colors, contrasting with the traditional wooden ship. In the background, a storm brews, symbolizing the chaos of surveillance challenges. The image captures the essence of movement and speed, echoing the Futurist style while threading in the pirate theme.

Response: AI’s Surveillance Dilemma: Why Large Language Models Struggle with Police Calls

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