AI transparency has emerged as one of the most widely cited principles in responsible AI, yet it remains limited in practice. Organizations deploying generative AI face growing pressure to be transparent about how their systems work, what data they use, and how decisions are made. But what does meaningful transparency look like, and how can organizational leaders actually implement it?
Our research examines transparency needs across key stakeholders and the barriers organizations face in operationalizing transparency in generative AI systems. Building from this research, we developed an actionable playbook.
This playbook -- for leaders and teams responsible for deploying generative AI -- helps organizations operationalize transparency in generative AI. It provides ten concrete plays that leaders can use to design, govern, and deploy AI systems in ways that build trust, support accountability, and enable sustainable adoption.
