The deployment of AI fits into the broader umbrella of cyber risk as part of enterprise risk identification and mitigation. It is essential for AI to address ethical issues such as data bias and to ensure AI is deployed to achieve the bottom-line and top-line goals.
Critics point to significant limitations including the magnification of our cognitive biases in the algorithms that run our smart machines.
The National Highway Traffic Safety Administration has defined five distinct levels for self-driving AVs, which range from controlling specific tasks such as parking and braking (level 1) to where the vehicle is fully autonomous with no steering wheel or other human controls (level 5).
Emerging information technologies and artificial intelligence (AI) techniques can improve the accuracy of forecasts and enhance the bottom line.