Why we need cybersecurity of AI: ethics and responsible innovation
With the growing use of advanced deep machine learning, AI must be deployed alongside a responsibility for ensuring the integrity, safety and security of such systems.
Sadie Creese is Professor of Cyber Security in the Department of Computer Science at the University of Oxford, where she teaches operational aspects of cybersecurity including advanced threat detection, risk assessment and security architectures. Elsewhere in Oxford she is a Director of the Global Cyber Security Capacity Centre, Programme Director for the Said Business School online course Cyber Security for Business Leaders, and is a regular contributor to the leadership programmes and MBA teaching of the Said Business School. Her current research portfolio includes: advanced threat modelling and detection with particular interest in the insider threat and threat to AI, visual analytics for cybersecurity, risk propagation logics and communication, resilience strategies for business, privacy requirements, vulnerability of distributed ledgers and block-chains, understanding cyber-harm and how it emerges for single organisations, nations and the potential for systemic cyber-risk, and the Cyber Security Capacity Maturity Model for Nations. She is a member of the Steering Committee for the WEF AI Governance Alliance.
With the growing use of advanced deep machine learning, AI must be deployed alongside a responsibility for ensuring the integrity, safety and security of such systems.
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