AI risk management framework
An AI risk management framework is a structured set of guidelines and processes designed to identify, assess, and mitigate risks associated with the development, deployment, and maintenance of AI systems. In the context of cybersecurity, this framework is crucial for securing AI systems from potential threats and vulnerabilities, while also safeguarding the data these systems interact with.
The importance of an AI risk management framework cannot be overstated. As AI technologies are integrated into critical aspects of business and society – from automated financial systems to complex decision-making algorithms in healthcare – ensuring these systems operate securely and predictably is vital. An effective AI risk management framework helps organizations anticipate potential failures or malicious exploitations in AI systems, reduce possible harms, and ensure the trustworthiness of AI applications.
