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A Multi-Faceted Approach for Trustworthy AI in Cybersecurity

Author(s): Xiang (Michelle) Liu, Diane Murphy

Citation: Xiang (Michelle) Liu, Diane Murphy, (2020) "A Multi-Faceted Approach for Trustworthy AI in Cybersecurity," Journal of Strategic Innovation and Sustainability, Vol. 15, Iss. 6, pp. 68-78

Article Type: Research paper

Publisher: North American Business Press


Artificial intelligence (AI) is an increasingly used technology in today’s society due to its seemingly limitless use cases, from automation to augmentation and beyond. However, some questions remain unanswered, including what the consequences of these implementations are, how such implementations impact humans, and how trustworthy and secure they are. This article focuses on the implications of AI for the field of cybersecurity: new applications to secure, new attack vectors for malicious actors, and new ways to protect our systems with AI. The authors argue that it is imperative to incorporate ethics and related responsibility principles as central elements in the design and operation of AI systems for effective cyber defense. This paper proposes a multi-faceted approach to respond to the emerging challenges associated with AI and emphasizes what is needed now to expose students to AI in their curriculum. Due to the exploratory nature of this study and the newness of the field, our goal is to invite further discussion and investigation of this important subject, and to begin developing a curriculum to introduce trustworthy AI throughout the curriculum.