Effective risk identification and monitoring are integral to an organization’s success and improving strategic decision making. Accurate and timely risk identification and assessment help drive efficiencies and improve customer experiences with business processes. Consistent with its agile risk management philosophy, Protiviti presents its perspective on establishing and sustaining leading practices for identifying, assessing, mitigating and monitoring risks stemming from artificial intelligence (AI).

This white paper looks at the essential components and risks of AI and outlines key actions organizations can take to enhance risk mitigation during the AI lifecycle.