Boomi co-designs AI risk framework


By Dylan Bushell-Embling
Monday, 24 June, 2024

Boomi co-designs AI risk framework

Software company Boomi has joined forces with academics and professional services company Connor Group to deliver what the companies say is the first enterprise risk framework for generative AI.

The framework has been designed by Boomi, Connor Group, Professor David Wood from Brigham Young University’s Marriott School, Scott Emett from Arizona State University’s W.P. Carey School of Business and Mac Eulerich from the University of Duisberg-Essen’s Mercator School of Management. It has been built in collaboration with over 1000 business leaders, academics and industry bodies.

The framework provides a detailed guide and methodology for organisations of all sizes to assess their AI readiness, identify and manage risks associated with GenAI technologies and proceed to responsible GenAI adoption. It can be easily customised to align with a company’s objectives, needs and risk appetite, and allows risk management and governance leaders to identify and proactively address high-priority exposures.

The framework is being provided as a free resource by Connor Group, and includes a robust set of risk and control considerations.

Boomi Chief Audit and Risk Officer Waseem Samaan said the framework will allow organisations to enhance their preparedness for AI while managing its risks.

“At Boomi, we understand the power of clarity and action. The Enterprise GenAI Governance Framework, which I had the privilege to help shape, epitomises that by providing a one-page summary ideal for boardroom discussions, alongside a detailed breakdown of controls for practical implementation,” he said. “It’s designed not only to be adopted, but also to be adapted, allowing companies to assess their compliance and maturity, identifying areas of strength and opportunities for improvement. We’re proud to be among the first to implement and champion a tool that so effectively bridges the gap between strategic oversight and operational excellence.”

More information about the Enterprise GenAI Framework can be found here.

Image credit: Chandaeng

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