Best Practices for Establishing an AI Governance Plan
As AI tools become integral to business operations, robust information governance strategies are more critical than ever. A recent Reworked article highlights the challenges and best practices organizations face in navigating the complexities of generative AI adoption.
Catherine Brooks, Ph.D., professor and interim dean at the College of Information Science at the University of Arizona, emphasizes the need for forward-thinking approaches to mitigate the unintended consequences of AI tools. Brooks advocates for training a workforce equipped with both analytic skills and ethical understanding to ensure AI is used effectively and responsibly.
Experts recommend key practices for organizations, including establishing a governance framework, cleaning and organizing data for better AI implementation, and fostering transparency in AI-driven processes. By prioritizing education, traceability, and oversight, businesses can harness AI's potential while managing risks associated with rapidly evolving technologies and new regulations.
AI governance isn't just about compliance—it's the foundation for innovation, transparency, and sustainable growth in the digital age.