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Ensuring AI Integrity: Auditing Algorithmic Systems for Optimal Performance and Risk Management
June 30, 2024by Dr Dawkins Brown
In today’s digital era, organizations increasingly rely on algorithmic systems to drive decisions, optimize processes, and innovate services. However, ensuring these systems work as intended and mitigate potential risks is paramount. This article explores how organizations can audit algorithmic risk effectively, even if they lack deep technical expertise. How Do We Know Whether Algorithmic Systems...
