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Leveraging the NIST AI Risk Management Framework to Reduce AI Risks

Funso Richard
6 min readSep 30, 2023

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Utilizing the NIST AI Risk Management Framework equips businesses with a strategy to optimize the benefits of AI and minimize its risks.

Artificial Intelligence (AI) has emerged as a vital component of modern business operations, providing a plethora of benefits. These advantages range from increased efficiency and an enhanced customer experience to the capacity to launch innovative products. Despite these benefits, the integration of AI is not devoid of challenges.

These challenges span a broad spectrum of issues, including technical aspects like data security and privacy, as well as ethical quandaries such as bias and fairness. Considering these potential risks, it is essential for businesses to implement a well-structured strategy to mitigate them. This is where the significance of the NIST AI Risk Management Framework (AI RMF) becomes evident.

The integration of AI in business operations presents substantial risks and challenges that demand careful consideration and resolution.

Understanding AI Risks

The integration of AI in business operations presents substantial risks and challenges that demand careful consideration and resolution. AI risks can appear in a variety of forms, including risks at the application, business, or…

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Funso Richard
Funso Richard

Written by Funso Richard

AI Pragmatist Ethicist & GRC Thought Leader. I write about governance, risk, cybersecurity and strategy to help organizations minimize business risks.

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