The overall objective of the present document is to provide an overview of standards (existing, being drafted, under consideration and planned) related to the cybersecurity of artificial intelligence (AI), assess their coverage and identify gaps in standardisation. It does so by considering the specificities of AI, and in particular machine learning, and by adopting a broad view of cybersecurity, encompassing both the ‘traditional’ confidentiality–integrity–availability paradigm and the broader concept of AI trustworthiness. Finally, the report examines how standardisation can support the implementation of the cybersecurity aspects embedded in the proposed EU regulation laying down harmonised rules on artificial intelligence (COM(2021) 206 final) (draft AI Act).
The overall objective of the present document is to provide an overview of standards (existing, being drafted, under consideration and planned) related to the cybersecurity of artificial intelligence (AI), assess their coverage and identify gaps in standardisation. It does so by considering the specificities of AI, and in particular machine learning, and by adopting a broad view of cybersecurity, encompassing both the ‘traditional’ confidentiality–integrity–availability paradigm and the broader concept of AI trustworthiness. Finally, the report examines how standardisation can support the implementation of the cybersecurity aspects embedded in the proposed EU regulation laying down harmonised rules on artificial intelligence (COM(2021) 206 final) (draft AI Act).
Benvenuto nella instanza Lemmy NicFab Community!
Vi invitiamo ad essere gentili.
Tutte le comunità in questo spazio dovrebbero essere almeno legate alla privacy e all’innovazione.
Questo è uno spazio comune per progetti e utenti interessati alla privacy, alla protezione dei dati, alla cybersecurity e alle soluzioni innovative.
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