Framing AI Risks

AI risk refers to the potential negative consequences and uncertainties associated with the deployment and utilization of AI systems. AI risk encompasses a range of concerns, including privacy issues arising from data collection and analysis; security vulnerabilities that could be exploited by malicious actors; fairness and bias concerns in decision-making algorithms; transparency issues related to understanding how AI systems arrive at their conclusions; and safety considerations in applications like autonomous robotics.

Effectively addressing AI-related risks requires a comprehensive understanding of these potential pitfalls and the implementation of strategies and frameworks to mitigate and manage these risks throughout the entire AI lifecycle, from development to deployment.