Artificial Intelligence (AI) risk databases are growing, AI risk taxonomies and classifications are expanding, and AI risk registers are being created and added to at an accelerated rate.
Here are a few resources that are attempting to capture them:
AI Risk Repository by MIT [https://airisk.mit.edu/](https://airisk.mit.edu/)
AI Risk Database - [https://airisk.io/](https://airisk.io/)
Unfortunately, this exercise is like "trying to stop the tide with a broom." How can we stay ahead of all the risk that is coming our way?
A wise risk manager once told me,
“If you want to eliminate the risk, eliminate the hazard.”
Conceptually, this is how we now think about risk.
Hazards are sources of uncertainty, and as we know, uncertainty creates the opportunities for risk.
You can try, and many will, to deal with the combinatorial explosion of the effects of AI uncertainty.
They will create an ever-expanding risk taxonomy and corresponding practices. Unfortunately, they will soon discover that there will never be enough time, enough resources, or enough money to contend with all the risks that really matter.
There are not enough brooms to push back the tsunami of AI risk.
Yet, some will take the advice of the wise risk manager and contend with the uncertainties first.
Their AI systems will handle not only the risks that are identified but also the ones still to emerge because they will have removed the opportunity for risk to manifest in the first place.
They will stop the tsunami from being created in the first place.
Heed the advice of the wise risk manager:
“If you want to handle AI risk, contend with the uncertainties first.”