What is the situation in other areas where we only obtain results based on complex calculation formulae? How can the quality of such processes and results be verified?
Does this mean that AI-based applications are ultimately preventing innovation?
To what extent general artificial intelligence (AGI) can contribute to the innovation process, I cannot say at this point in time. Many innovations have also arisen purely by chance. So called. Deep reinforcement learning algorithms (DRLA) also mix their decisions from a combination of what is known ("exploitation") and what is new ("exploration"). These are purely random actions that can marginally lead to an improvement in the decision-making system.
What makes human decision-making so unique, however, is intuition. Intuition is very difficult to map technically. How well general artificial intelligence can approximate human intuition remains to be seen in the future. Whether these processes bring fundamental added value or only take on semi-structurable tasks, i.e. processes that follow a certain structure but cannot be fully determined on the basis of so-called "if-then relationships", is the subject of current research.
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