You can mitigate risks using AI risk assessment, which includes identifying the following:
- Risks that are real, i.e., have a high likelihood of happening.
- Uncertain risks, i.e., have a low probability of happening.
- Unrealistic risks, i.e., are highly improbable but are perceived to be read by the public.
The goal is to prioritize mitigation strategies that can deal with both real and uncertain risks. You can then use AI risk assessment to determine the probability of success of each strategy. This is because you want to choose strategies that have a high chance of success rather than strategies that have a higher level of risk tolerance associated with them.
Some strategies you can use include:
- Develop regulations and legislation.
- Develop regulations and legislation.
- Provide education to the public.
- Identify, track, and eliminate unsafe products.
Let us discuss each of these strategies in detail.
Develop regulations and legislation
This strategy involves developing laws and regulations on AI products. This is because the public expects AI products to be safe and secure. A good example is a recent regulation on self-driving cars in China. This regulation provides clear safety requirements for self-driving cars such as the requirement of having a steering wheel and pedals.
Develop regulations and legislation
Another strategy is to develop regulations and legislation that can deal with possible risks associated with AI products. However, this strategy has the problem of dealing with uncertain risks. This is because you cannot know if future risks will happen until they do happen.
Therefore, this strategy requires good communication between policymakers and industry experts to identify possible future risks so that they can be addressed using regulatory mechanisms. A good example of this strategy is the recent discussion between policymakers and experts about the safety of AI systems used in autonomous vehicles.
A report also discusses how to safely integrate AI systems into autonomous vehicles while still allowing these vehicles to operate safely on roads to avoid accidents. The report also discusses how a centralized system may be established for collecting data. For instance, autonomous cars analyze their safety record while still protecting the privacy rights of individuals whose data is collected by these cars.
Provide education to the public
Another strategy is to provide education about AI technology to the public. The goal of this strategy is to increase awareness about AI technology among the public so that they know more about how it works and what it can do compared with what they know now. T
his may reduce unrealistic expectations that people have on AI systems, which can reduce risks associated with these expectations being unmet or being met with disappointment. Moreover, if people know more about how AI systems work, there may be a reduction in unrealistic fears associated with these systems that may lead people to oppose them even though they pose no threat or may have positive effects.
Identify, track, and eliminate unsafe products.
To reduce risks, you also need to reduce the number of unsafe products. If a product is unsafe, it can cause accidents and injury.
Therefore, a crucial part of AI risk assessment involves identifying unsafe products and eliminating them from the market. To eliminate unsafe products from the market, you can conduct tests to check if they are safe or not. If they are found to be unsafe, they should be eliminated from the market.
