The last set of advice on the AI of the Cloud Security Alliance (CSA) explores the importance of model risk management (MRM) to ensure the development, deployment and use responsible for AI / ML models. Written for a large audience, including practitioners directly involved in the development of AI and business and compliance leaders by focusing on AI governance, Artificial Intelligence model risk management framework (AI) Underlines the role of the MRM in the formation of the future of ethical and responsible AI.
“Although the growing dependence of IA / ML models is the promise of unlocking a large potential of innovation and efficiency gains, it simultaneously introduces inherent risks, in particular those associated with the models themselves, which, if they are uncontrolled, can cause significant financial loss, regulatory sanctions and reputation damage. The attenuation of these risks requires a proactive approach like that described in this article, “said Vani Mittal, a member of the Working group on AI technology and risks and a main author of the newspaper.
Stressing the inherent risks associated with AI models (for example, data biases, factual inaccuracies or non-reévances and potential improper use), the document highlights the need for a proactive approach to ensure a complete MRM framework.
The framework published in the document explores MRM and its importance for the responsible development of AI, closely examining the four pillars of an effective MRM frame – Model cards, technical sheets, risk cards and scenarios planning – and how they work together to create a holistic MRM approach. By implementing this framework, organizations can ensure safe and beneficial use of IA / ML models with key advantages such as:
- Improved transparency and explanability
- Attenuation of proactive risks and “design security”
- Informed decision -making
- Consistency of trust with stakeholders and regulators
“A complete framework greatly contributes to ensuring responsible development and allowing safe and responsible use of beneficial IA / ML models, which in turn allows companies to follow the pace of AI innovation,” said Caleb Sima, President, President, President, President, President CSA AI Security Initiative.
While this article focuses on the conceptual and methodological aspects of MRM, those who seek to find out more about the aspects centered on MRM people, such as roles, property, Raci and interfunctional participation, are encouraged to read CSA IA organizational responsibilities – Basic security responsibilities.
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