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Why are new complex strategies necessary to certify, audit, and evaluate AI systems?
Artificial intelligence systems in general are quite complex from a cognitive point of view, meaning that expectations regarding their performance and the mechanisms that enable inferences to be made in the sense described above are not as precise and objectifiable as in systems that could be called conventional software. For example, the expected error rate in a payroll management system
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Are we really developing Intelligent Systems in our company?
AI Act is the first pioneering global legal framework on AI applicable at EU level, which seeks to position Europe as a leader in the development of trustworthy AI. If we stick to the European Commission's definition of an intelligent system, we see that this is not always the case: ‘Artificial intelligence system’ (AI system) means a system
