Less red tape. More governance
While still in its infancy and much like data governance before it, AI governance is often seen as technological redtape. However, when it’s implemented correctly, it is a powerful accelerator to AI success offering significant benefits, including:
Quality and explainability: Ensure quality AI projects and models are produced and everyone across the organization fully understands the use case and output
Compliance and trust: Ensure compliance with relevant laws/regulations (EU AI Act), avoiding legal consequences and reputational damage
Accountability and transparency: Create clear responsibilities for AI system developers, operators, and users
ROI tracking: Fully understand the ROI of AI investments while identifying and mitigating risks
AI governance definedAI governance is the application of rules, processes and responsibilities to drive maximum value from your automated data products by ensuring applicable, streamlined and ethical AI practices that mitigate risk, adhere to legal requirements and protect privacy.
Looking to get started with AI governance?Read our ebook to learn best practices
