Isabel Löfgren 112 and procedures across several layers of data generation, storage, processing, analysis, and distribution (Figure 6). Although material, these layers give us a sense of immateriality through software, applications, and notifications on user interfaces. Thus, the cloud is a force that obscures the layers of the system, creating a fog shrouded in mysteries that prevents us from fully comprehending its logics. Furthermore, data clouds do not possess only func- tional characteristics; they also have a predictive analysis layer that uses artificial intelligence (AI) – with its algorithms and language models – to extract knowledge from the data. The cloud then returns these predictions to us in the form of reports (“an- alytics”) with minimal noise and low latency, eliminating data fragmentation and optimizing its externalization through the automated analysis of high-performance patterns. In this sense, AI can be seen as an optical instrument, like an X-ray, as it “sees through” the various layers of the cloud, organizes, and returns meaning. In other words, artificial intelligence sees everything to be able to predict, thus, it is a technology of vision (Amoore, 2019). Figura 7 – Anatomy of an AI system, Kate Crawford and Vladan Joler, 2018. Map of the architecture behind the voice-recognition system “Amazon Echo”. Source: http://www.anatomyof.ai
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