AI is transforming human cultures and societies at a rapid pace; yet the AI ethics landscape is cross-sectoral, interdisciplinary, and highly complex. We are using computational methods (e.g. natural language processing, graph computing) to map topics, trends, and networks within the various disciplinary academic literatures, amongst policy-makers, and in the communities of practice beyond, to identify knowledge gaps, and deliver embedded research for impact….