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Dec 3, 2024

Platform allows AI to learn from constant, nuanced human feedback rather than large datasets

Posted by in categories: military, robotics/AI

I had wondered if AI could just learn and advance from it s users.


During your first driving class, the instructor probably sat next to you, offering immediate advice on every turn, stop and minor adjustment. If it was a parent, they might have even grabbed the wheel a few times and shouted “Brake!” Over time, those corrections and insights developed experience and intuition, turning you into an independent, capable driver.

Although advancements in artificial intelligence (AI) have made a reality, the used to train them remain a far cry from even the most nervous side-seat driver. Rather than nuance and real-time instruction, AI learns primarily through massive datasets and extensive simulations, regardless of the application.

Now, researchers from Duke University and the Army Research Laboratory have developed a platform to help AI learn to perform more like humans. Nicknamed GUIDE for short, the AI framework will be showcased at the upcoming Conference on Neural Information Processing Systems (NeurIPS 2024), taking place Dec. 9–5 in Vancouver, Canada. The work is also available on the arXiv preprint server.

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