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.
News
CPL members participated in a webinar organized by Filip Łapiński of the University of Warsaw on AI-Driven Philosophical Education: here.
‘The 3D Model of Ethical AI Practice’ has been published (open access) in AI & Ethics: here.
The NULab for Digital Humanities and Computational Social Science has published two blog posts by the CPL AI Ethics team: Analyzing AI Ethics… Using AI! and AI Ethics: a Network Analysis of the Literature.
Conversations on AI has a podcast: check out episode one; and the YouTube channel.
A video of the CPL/FDM event on ‘AI Ethics in Action: Mapping Responsible AI’ is available: here.
CPL was involved in this Insights Report providing a Landscape Analysis of Responsible AI Education in the UK: here.