This research examines the responsible development of artificial intelligence (AI) amidst rising concerns about its societal impact. We highlight the co-evolutionary nature of Responsible AI (RAI), demonstrating its emergence through ongoing interactions among diverse ecosystem actors. Our study emphasizes the crucial role of these interactions in guiding AI towards positive societal outcomes. Our findings indicate varied organizational approaches to implementing RAI, encompassing bottom-up, top-down, and collaborative strategies. The process exhibits complexity and diverse perspectives on timing and methodology, including some treating RAI as an afterthought, others as a forethought, and some adopting a co-evolving approach. Using an ecosystem approach, we analyse the actions, interactions, influences, values, tensions and dilemmas of diverse actors to understand how they collectively contribute to the emergence of RAI. Within this ecosystem, governments, politicians, industry representatives, and academia play critical roles in shaping the trajectory of RAI.