Understanding AI risk scenarios

Many of the organizations I have worked with have very limited knowledge about the risks presented in their AI systems. They often treat AI risks the same way they deal with risks associated with traditional software. In reality, AI systems present a new set of risks that we do not normally see in traditional software. With traditional software, the risk is mainly about software vulnerability, a legacy technology stack, malware, misconfiguration, and unauthorized access to data. AI systems are exposed to many of the same software risks; additionally, AI systems can present new kinds of risks such as bias and misinformation. These risks can have significant negative consequences for organizations and individuals that rely on AI systems for business operations and decision-making. AI risks can manifest in many different ways, such as displaying biased behavior or producing unexpected prediction results. Many of the AI risk scenarios are also silent risks...