The power of generative AI, which can enable users to better leverage proprietary and public data and information in use cases that touch everything from trading to preventing financial crime to regulatory reporting to improving customer experiences, will be transformative. Since FINOS launched its broader AI initiative, it was clear that accelerating AI readiness was a critical first step. AI presents new challenges for onboarding technology in financial services that must be addressed to allow for its rapid, safe and trustworthy adoption – building the right guardrails and considering the needs of the customer, the organization and the regulatory environment.

“While we have deployed AI solutions for many years, Generative AI is poised to disrupt how we do business, creating new opportunities but also introducing challenges and risks. It’s important that Regulated Financial Services companies apply rigor and discipline to ensure safe and trustworthy deployment of this technology. As a founding member, we are thrilled to see the progress we have already made with our partners in the FINOS AI Readiness SIG over the last few months. This is a great starting point for us, as an industry, to collaborate on a structured approach to the adoption and governance of AI similar to what we did through the Open Source Readiness program a few years back.” - Madhu Coimbatore, Head of AI Development Platforms at Morgan Stanley from press release here.

FSIs have a critical need for AI adoption guidelines and frameworks that particularly focus on:

• Regulation
• Compliance
• Bias
• Trust

The FINOS AI Readiness Special Interest Group plans to engage with regulators to promote alignment between future (GenAI) regulations and the language and approaches used in FINOS projects, notably the FINOS AI Governance Framework project.

An invitation to the financial services community to AI Readiness Roadmap

As a critical next step in finalizing the AI Governance Framework and adopting responsible AI practices, FINOS is inviting the wider financial services community to participate in this important collaboration. The task is to develop and operationalize frameworks, policies and tools for the effective, safe, trustworthy and compliant deployment of generative AI technologies. It is critical the framework reflects the diverse needs of the industry and sets the right guardrails for onboarding and operationalizing AI in financial services.