Abstract
Rapid progress in Artificial Intelligence (AI) is presenting both opportunities and threats that promise to be transformative and disruptive to the field of cybersecurity. The current approaches to providing security and safety to users are limited. There is a need for a new formulation of these challenges that considers the complex social, technical, and environmental dimensions and factors that shape both the opportunities and threats for AI in cybersecurity.
The purpose of this white paper is to explore the complex AI in cybersecurity landscape, employing a bottom-up and top-down approach that is focused on: (1) documenting and analysing the outcomes of six transdisciplinary workshop deliberations occurring between January and June 2021, with academia, industry, government, and NGO expert participation; and (2) a subsequent process of engagement with socio-technical literature to inform the reformulation and conceptualisation of the emerging AI in the cybersecurity landscape. The purpose of this exercise is to present a reformulation of AI in cybersecurity from a socio-technical perspective, while proposing a research roadmap that is expected to have material implications for stakeholders from a research, policy, and practice perspective.
Citation information
Abbas, Roba; Michael, Katina; Pitt, Jeremy; Vogel, Kathleen M.; and Zafeirakopoulos, Mariana. "Artificial Intelligence (AI) in Cybersecurity: A Socio-Technical Research Roadmap" The Alan Turing Institute, 2023.
Affiliated authors:
Roba Abbas, Katina Michael, Jeremy Pitt, Kathleen M. Vogel, and Mariana Zafeirakopoulos