In a future article, we will focus on the AI change process. For now, suffice it to say that “appreciative” starts with a positive mindset; it focuses on finding the existing strengths in the current system and seeks to grow these into a desired future state. Tapping into positive emotions unleashes creative ideas, dreams, hopes, and possibilities and, thus, powers the change process. “Inquiry” refers to the questioning involved in the five stages of the AI process: define, discovery, dream, design, and deliver (Figure1).
The third working group, Meaningful Metrics, is tasked with developing a formal mechanism to collect and track meaningful quantitative and qualitative metrics on diversity to show impact and change over time. As one participant expressed, its goal is to “emphasize the value of diversity, showcase the benefits of diversity in composition and how it leads to better outcomes/excellence, so diversity is supported not out of necessity but for its value.”