AI and the Risk Management Pro - Insurance Thought Leadership

Managing risks from poor-quality AI is too important to leave purely to technical specialists. An organization-wide perspective is needed. As the adoption of artificial intelligence (AI) continues at pace across industries, there is increasing awareness of the risks it can pose. Recent high-profile examples have highlighted the risk of unjust bias regarding race and gender, such as those found in some law enforcement or recruitment algorithms. Other examples have highlighted the reputational risk from poorly communicated AI use cases, such as an online insurer's recent claims of using facial emotion recognition to detect fraud.