Artificial intelligence has been around for a few decades now, but it wasn’t until recently that it has become a useful tool. It’s safe to assume that there is almost no sector of business where AI can’t find its purpose and improve daily operations. For example, you can see AI and machine learning being used in marketing, customer service, and security. This is expected, as AI-driven tools can significantly increase the efficiency and productivity of most organizations. Ai solutions are capable of handling repetitive tasks, making patterns and algorithms, detecting malicious behavior, and much more.

In risk management specifically, AI is used to recognize patterns and improve from past experiences. With the help of machine learning, organizations can reduce incident response times. This is because even the minutest behaviors can be detected and dealt with before they enter the system and cause any damage. AI has changed risk modeling and has offered a new way of thinking about cyber security, which was nearly impossible with the old (manual) way of handling these issues. AI solutions have the ability to discover new and hidden risks, while also allowing you to quantify them more accurately. With these tools, you can monitor the risks and manage them better than ever before.

Why AI Could Pose Unfamiliar Risks

While AI tools like can enhance risk management and improve many aspects of business, there are a few risks that could be imposed by the tool itself. One of the issues that are most commonly voiced is the automation of jobs, i.e. leaving employees out of work. According to many experts, it is no longer a question if AI will replace certain jobs – but to what degree it will. Of course, this is a threat to millions of workers who perform predictable and repetitive tasks in countless industries. However, as Ai improves, these tools can become even “smarter”, meaning that even some complicated tasks will be done with fewer humans than before.

Other risks that the rise of AI poses include creating bias by relying on outdated information sources. There are many ways that AI bias takes form. For example, it can be cognitive, in cases when it originates from influences that the developer hard-coded into an algorithm. On the other hand, it can come from an incomplete data set.

How to Overcome The Risks And Responsibilities Posed by AI

According to many experts in the field, including business magnate Elon Musk, the best way to mitigate the risks posed by AI is through regulation. Industry professionals are quick to explain that research should not be slowed down, but instead, the implementation of AI is the most important process that must be strictly regulated. It is crucial to have progress and keep exploring the capabilities of AI and machine learning, though it must be done safely and with supervision.

Getting into further detail, the first step of understanding the risks AI poses is trying to recognize exactly where they come from. In these scenarios, issues like insufficient learning feedback loop and unethical use cases must be considered. When it comes to data management, the company needs to think about the potential issues of using incomplete or unprotected data, as well as other regulatory non-compliance. To overcome the risks posed by AI, a company needs controls and limitations that can regulate specific cases like these. Then, one needs to consider the model and ensure that they aren’t getting non-representative data or biased model outcomes.


Even though AI and machine learning have found their way into many areas of modern business, there is still much to learn about them. The benefits that AI offers to risk management are undeniable and will greatly improve productivity in many industries. It’s also worth noting that this does not encompass everything that AI has to offer to the world. Researchers continue to make progress and AI solutions keep evolving. With everything being improved by these modern tools, it is important to remember the risks and responsibilities that come with them. Even though AI can help you manage certain risks, this new technology itself poses a risk and it is the user’s responsibility to implement it properly.

PKI-Security Engineer & security blogger at She is passionate about covering cybersecurity and Technology.

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