The evolution of artificial intelligence in recent decades has transformed the way we conceive the cognitive activity and the role of humans in complex decision-making processes. From early symbolic models to current multimodal generative systems, AI has progressively approached forms of adaptive reasoning that, while remaining profoundly different from biological cognition, increasingly mimic some of its functions more effectively. Today, intelligent artificial collaborators interact with people, enhancing our human capacity for learning, reasoning, decision-making, and problem-solving. This interaction has the potential to amplify both human and artificial intelligence by combining their complementary strengths. This hybrid intelligence requires meaningful interaction between artificial intelligent agents and humans to negotiate and align goals, intentions, and the implications of actions. In particular, recent results in the field of adaptive neurostimulation and mnestic prostheses suggest that algorithmic manipulation of neural information could enhance certain cognitive abilities, such as memory and multi-step reasoning, artificially expanding the human cognitive repertoire.
