Good AI governance needs rigorous processes and management, but also suitable tools to enable AI teams to meet the requirements of the governance structures. In this talk, I will introduce several such tools developed by IBM that aim to address several different aspects of AI governance. The most recent of these, AI FactSheets, provides a template and methodology for users to document their AI systems, the decisions that have gone into building them, and the processes used to assess their performance. FactSheets are intended to act as a declaration of conformity for an AI system, providing key information to stakeholders as well as assisting businesses to identify weaknesses in their current governance processes. I will also discuss Watson OpenScale, IBM's enterprise cloud tool for real-time monitoring of deployed AI systems that greatly simplifies the processes required in implementing the governance steps identified in a FactSheet. Finally, I will briefly cover recent advances in two crucial topics: explainability and bias. IBM Research is actively working in both these areas, and has made this work available to the broader AI community through the open-source toolboxes AI Explainability 360 and AI Fairness 360. While the problems of AI governance are far from solved, these offerings provide businesses with a useful suite of tools to deploy so that they can focus on their processes and people, rather than getting bogged down by technology.
