Psychology of Artificial Intelligence: Epistemological Markers of the Cognitive Analysis of Neural Networks
<|reference_start|>Psychology of Artificial Intelligence: Epistemological Markers of the Cognitive Analysis of Neural Networks: What is the "nature" of the cognitive processes and contents of an artificial neural network? In other words, how does an artificial intelligence fundamentally "think," and in what form does its knowledge reside? The psychology of artificial intelligence, as predicted by Asimov (1950), aims to study this AI probing and explainability-sensitive matter. This study requires a neuronal level of cognitive granularity, so as not to be limited solely to the secondary macro-cognitive results (such as cognitive and cultural biases) of synthetic neural cognition. A prerequisite for examining the latter is to clarify some epistemological milestones regarding the cognitive status we can attribute to its phenomenology.<|reference_end|>
@article{pichat2024psychology,
    title={Psychology of Artificial Intelligence: Epistemological Markers of the
  Cognitive Analysis of Neural Networks},
    author={Michael Pichat (Neocognition)},
    journal={arXiv preprint arXiv:2407.09563},
    year={2024},
    archivePrefix={arXiv},
    eprint={2407.09563},
    primaryClass={q-bio.NC cs.AI}
}