Defending Against AI Threats with a User-Centric Trustworthiness Assessment Framework

This study critically examines the trustworthiness of widely used AI applications, focusing on their integration into daily life, often without users fully understanding the risks or how these threats might affect them. As AI apps become more accessible, users tend to trust them due to their conveni...

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Autors principals:	Efi Kafali, Davy Preuveneers, Theodoros Semertzidis, Petros Daras
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2024-10-01
Col·lecció:	Big Data and Cognitive Computing
Matèries:	AI security risks AI privacy risks trust compliance AI assessment user awareness
Accés en línia:	https://www.mdpi.com/2504-2289/8/11/142
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