Human vs. Artificial Intelligence: Bridging Intelligence Disparities Through Human-Machine Cooperation?
This thesis compares the concepts of human and artificial intelligence (HI; AI) based on perspectives from philosophy, psychology, sociology, and neuroscience. Limits and boundaries of the respective concepts are presented as well, identifying intelligence disparities between human and artificial agents: (i) lower operational speed and worse command of reasoning tasks in HI, (ii) AI’s lack of parallel operating abilities, (iii) quicker process of learning in humans, (iv) less pronounced general intelligence in machines, and (v) lack of emotional-social qualities in AI systems. These differences generally establish humans as the more completely intelligent agents. One cannot (yet) call human-machine collaboration fully cooperative. Nevertheless, this stage of collaboration could one day be achievable, at least for those who consider the creation of strong AI possible. If a cooperative state is reached, it can surely bridge the intelligence disparities established in this thesis.
Florian Niehaus erhielt für seine Arbeit den Max-Weber-Preis für Wirtschaftsethik, hier gibt es die Pressemitteilung.