AIs are often described as 'black boxes' with researchers unable to figure out how they 'think'. Some scientists are borrowing from psychology and neuroscience to reverse-engineer them for safer, more efficient AIs.
Understanding and reverse-engineering AI models can lead to robust, explainable designs. Researchers are implementing methods from psychology and neuroscience to unveil insights into the functioning of these 'black box' systems.
[
Collection
]
[
|
...
]