Importance of Neural and Psychological Fidelity

There are a lot of different algorithms and approaches that are being used for AI.
There are also an incredible number of problems that AI systems need to deal with. The frame problem, learning, dynamic processing, stability plasticity dilemma, knowledge representation, sensing, language, symbol grounding ......
While we may get to AI by some other mechanism, the human model is the obvious one to follow. Human's (and animals) are the only really intelligent things we know of. (A rat can learn a lot more than any existing machine.)
Of course we can be inspired by humans, but I think a better methodology is to follow them.
Psychologically we can develop and use cogntive architectures to account for a range of human behaviour.
Neurally, we can develop models that approximate single neuron behaviour.
We can also develop models that approximate suites of neural behaviour.
If we use these components as the basis of our AI systems, we can look to the human solution when the models fail.