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[logseq-plugin-git:commit] 2025-06-05T08:36:10.944Z

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ddiruscio
2025-06-05 10:36:12 +02:00
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pages/hls__modelloA_P2022553SL-12_1705930086705_0.md
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file:: [modelloA_P2022553SL-12_1705930086705_0.pdf](../assets/modelloA_P2022553SL-12_1705930086705_0.pdf)
file-path:: ../assets/modelloA_P2022553SL-12_1705930086705_0.pdf
- his is why the European Union, through the Artificial Intelligence Act(https://artificialintelligenceact.eu/), raised the concern of having novel solutions to ensure trustworthy and ethical artificial intelligence able to protect ethical principles
ls-type:: annotation
hl-page:: 4
hl-color:: green
id:: 65ae6d8d-3f1c-4737-8aa0-f3f655938f43
- e data are continuously collected throughfairness in the context of ML-Intensive systems. heterogeneous interconnected smart devices and real-time monitoring devices. Collected data are filtered, aggregated, and consumed by ML models. The large amount of data available, the interconnection among them, and the continuous data acquisition/learning activities raise serious ethical concerns, as it is hard to verify that ML models act according to ethical principles and make predictions that do not perpetuate discrimination toward sensitive groups
ls-type:: annotation
hl-page:: 4
hl-color:: green
id:: 65ae6da7-4524-4ca6-9f31-564c1abb3de3