At this time, we’re introducing the Databricks AI Governance Framework (DAGF v1.0), a structured and sensible strategy to governing AI adoption throughout the enterprise.
As organizations embrace AI at scale, the necessity for formal governance grows. Enterprises should align AI growth with enterprise objectives, meet authorized obligations, and account for moral dangers. This framework is designed to assist program growth, deployment, and steady enchancment.
The DAGF enhances the Databricks AI Safety Framework, providing a whole view of governance that spans each safety and operational integrity.
Why AI governance can’t wait
In accordance with a 2024 international survey of 1,100 expertise executives and engineers carried out by Economist Affect, 40% of respondents believed that their group’s AI Governance program was inadequate in guaranteeing the security and compliance of their AI belongings and use instances. As well as, knowledge privateness and safety breaches have been the highest concern for 53% of enterprise architects, whereas safety and governance are probably the most difficult points of knowledge engineering for engineers.
As well as, in accordance with GartnerAI belief, danger, and safety administration is the #1 high technique pattern in 2024 that may issue into enterprise and expertise choices, and by 2026, AI fashions from organizations that operationalize AI transparency, belief, and safety will obtain 50% enhance when it comes to adoptionenterprise objectives, and consumer acceptance.
Whereas it’s evident that the shortage of enterprise-level AI governance packages is quick changing into a key blocker to realizing return on worth from AI investments and AI adoption as an entire, we realized that there’s not a single, complete steering framework that enterprises can leverage to construct efficient AI governance packages.
The 5 foundational pillars
On this framework, we introduce 43 key issues which can be important for each enterprise to know (and implement as acceptable) to successfully govern their AI journeys.
These key issues have been then logically grouped throughout 5 foundational pillars, designed and sequenced to mirror typical enterprise org-structures and personas.
Pillar I: AI Group
The AI Group pillar embeds AI governance throughout the group’s broader governance technique. It underscores the muse for an efficient AI program via greatest practices like clearly outlined enterprise goals and integrating the suitable governance practices that oversee the group’s folks, processes, expertise, and knowledge. It explains how organizations can set up the oversight required to attain their strategic objectives whereas lowering danger.
Pillar II: Authorized and Regulatory Compliance
The Authorized and Regulatory Compliance pillar helps organizations align AI initiatives with relevant legal guidelines and laws. It guides managing authorized dangers, deciphering sector-specific necessities, and adapting compliance methods in response to evolving regulatory landscapes. The result is AI packages are developed and deployed inside a strong authorized and regulatory framework.
Pillar III: Ethics, Transparency and Interpretability
The Ethics, Transparency, and Interpretability pillar helps organizations in constructing reliable and accountable AI methods. It emphasizes adherence to moral rules equivalent to equity, accountability, and human oversight whereas selling explainability and stakeholder engagement. This pillar supplies strategies to determine accountability and construction inside organizational groups, serving to to make sure that AI choices are interpretable, aligned with evolving moral requirements, and fostering long-term belief and societal acceptance.
Pillar IV: Knowledge, AI Ops, and Infrastructure
The Knowledge, AI Operations (AIOps), and Infrastructure pillar defines the muse that helps organizations in totally deploying and sustaining AI. It supplies pointers for making a scalable and dependable AI infrastructure, managing the machine studying lifecycle, and guaranteeing knowledge high quality, safety, and compliance. This pillar additionally emphasizes greatest practices for AI operations, together with mannequin coaching, analysis, deployment, and monitoring, so AI methods are dependable, environment friendly, and aligned with enterprise objectives.
Pillar V: AI Safety
The AI Safety pillar introduces the Databricks AI Safety Framework (DASF), a complete framework for understanding and mitigating safety dangers throughout the AI lifecycle. It covers vital areas equivalent to knowledge safety, mannequin administration, safe mannequin serving, and the implementation of sturdy cybersecurity measures to guard AI belongings.
For an extra overview of DAGF and for an instance walkthrough of how a company can leverage the framework to create clear possession and alignment throughout the AI program lifecycle, please watch this presentation from the authors made in the course of the 2025 Knowledge + AI Summit.
Why Databricks is main this effort
As an business chief within the knowledge and AI house, with over 15,000 prospects throughout numerous geographies and market segments, Databricks has continued to ship on its dedication to rules of accountable growth and open supply innovation. We’ve upheld these commitments via our:
Engagement with each business and authorities efforts to advertise innovation and advocate for the usage of secure and reliable AI
Interactive workshops to coach organizations on learn how to efficiently shepherd their AI journey in a risk-conscious method
Open sourcing of key governance improvements equivalent to MLFlow and Unity Catalogthe business’s solely unified answer for knowledge and AI governance throughout clouds, knowledge codecs and knowledge platforms.
These packages have supplied us distinctive visibility into sensible issues that enterprises and regulators face at the moment in AI governance. In furthering our dedication to serving to each enterprise succeed and speed up their Knowledge and AI journey, we determined to leverage this visibility to construct (and make freely out there) a complete, structured and actionable AI Governance Framework.
Obtain the Databricks AI Governance Framework at the moment!
The Databricks AI Governance Framework whitepaper is now out there for obtain. Please attain out to us by way of e-mail at (e-mail protected) for any questions or suggestions. In the event you’re excited about contributing to future updates of this framework (and different upcoming artifacts) by becoming a member of our reviewer group, we’d love to listen to from you as properly!
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