When it comes to managing AI risk, organizations need to adhere to both internal policies and external standards and regulatory frameworks. Lack of preparation for conforming to these requirements means considerable risk exposure, which could lead to pulled deployments.
This report provides an overview of Gartner research as applied to governance, trust, risk, and security management issues.
According to Gartner, “AI risk management poses new operational requirements that are not well understood. Conventional controls and organizational processes do not sufficiently ensure AI’s trustworthiness, security, and reliability.
CIOs and IT leaders must work with stakeholders across their respective organizations to implement a comprehensive AI trust and risk management program. Ideally, a dedicated risk management office should be established to work across organizational lines, such as legal, compliance, privacy, data and analytics, business functions, and AI model development.”
Keeping control over the development of AI models in the enterprise is not an easy task. All analytics and AI projects must be monitored because no one wants a model in use that is flawed, low-performing, or undocumented. IT leaders have legitimate expectations about what models are in use, for what purpose, if they’re business critical, if they’re risky, who approved them, and so on.
With Dataiku, teams can prevent deployment of projects, bundles (analytics with or without models), and models without a sign-off in Dataiku. The Govern node in Dataiku allows teams to require stakeholder review and sign-off on model versions or projects before they are deployed to production.
Gartner, Applying AI — Governance and Risk Management, Avivah Litan, Bern Elliot, et al. 3 May 2023. GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and are used herein with permission. All rights reserved. Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner's research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.