Which of the following is a key focus of NIST's AI Risk Management Framework?

The key focus of NIST's AI Risk Management Framework is centered around risk management processes. This framework is designed to help organizations identify, assess, manage, and mitigate risks associated with artificial intelligence systems. By providing a structured approach to understanding the potential risks AI might present, the framework emphasizes the importance of establishing risk management practices that are tailored specifically to the unique challenges and uncertainties inherent in AI development and deployment.

Effective risk management processes within this context involve evaluating both the technical and ethical implications of AI technologies, ensuring that they operate safely, securely, and within regulatory compliance. The framework encourages organizations to adopt a proactive stance toward identifying risks early and implementing measures to alleviate them, which is vital in fostering trust and accountability in AI systems.

In contrast, other options like customer engagement, profitability enhancement, and data collection strategies are important for business operations but do not specifically address the overarching theme of managing and mitigating risks related to AI. These aspects may influence AI deployment in a business context, but they do not align directly with the core focus of the NIST framework on structured risk management processes.