AI Fails the Social Test: New Study Reveals Major Blind Spot

[erronis]

https://scitechdaily.com/ai-fails-the-social-test-new-study-reveals-major-blind-spot/

Johns Hopkins study reveals AI models struggle to accurately predict social interactions.

A recent study led by researchers at Johns Hopkins University reveals that humans outperform current AI models in accurately describing and interpreting social interactions within dynamic scenes. This capability is critical for technologies such as autonomous vehicles and assistive robots, which rely heavily on AI to safely navigate real-world environments.

The research highlights that existing AI systems struggle to grasp the nuanced social dynamics and contextual cues essential for effectively interacting with people. Furthermore, the findings suggest that this limitation may stem fundamentally from the underlying architecture and infrastructure of current AI models.

“AI for a self-driving car, for example, would need to recognize the intentions, goals, and actions of human drivers and pedestrians. You would want it to know which way a pedestrian is about to start walking, or whether two people are in conversation versus about to cross the street,” said lead author Leyla Isik, an assistant professor of cognitive science at Johns Hopkins University. “Any time you want an AI to interact with humans, you want it to be able to recognize what people are doing. I think this sheds light on the fact that these systems can’t right now.”

. . .

“There’s a lot of nuances, but the big takeaway is none of the AI models can match human brain and behavior responses to scenes across the board, like they do for static scenes,” Isik said. “I think there’s something fundamental about the way humans are processing scenes that these models are missing.”

[Gore1FL]

1. They call throwing a bunch of cores at a data parsing problem call it AI, and then wonder why it isn't intelligent.

There are great uses for the tool, but I think a lot of expectations are misplaced because of the blatant error in naming.

[Attilatheblond]

2. Since so many humans are bad at predicting, or even seeing, human interactions...

AI doesn't have a lot of good 'teachers'.

[DBoon]

3. especially the humans who construct AI

[Attilatheblond]

4. Seems a lot of 'coders' are not socially adept

And many of those who work on AI seem overly uneasy with interacting with humans. 'Monkey see, monkey do' syndrome?

[DBoon]

5. I was thinking of AI executives too

[Attilatheblond]

6. Yep, they'd be the ones doing the hiring.

[kerry-is-my-prez]

7. As a former HR consultant working with computer people.

I have to say, many were pretty socially inept. I had more problems with them than any other department. I had to do battle with the upper management a lot - a couple of managers had no common sense. They wanted to fire people who could not legally be fired, etc.

[LudwigPastorius]

8. "AI systems struggle to grasp the nuanced social dynamics and contextual cues essential for...

effectively interacting with people"

Intellect incapable of truly understanding or empathizing with human beings...

Sounds like they're building machine versions of Elon Musk.