Coran Darling is a member of DLA Piper's AI and Data Analytics team where he focuses on assisting companies navigate the challenges of emerging technology regulations and policy across the world, with particular focus on AI, open-source software, and data.

Coran is a recognized thought leader on the responsible governance and ethical deployment of AI and is a regular contributor to dialogue on the matter, often quoted in international media including Sifted by the Financial Times and Tech Monitor. His recent work on AI policy and generative AI has been subject to discussion by the UK Government's Science & Technology Committee as part of their enquiry into developing future regulatory mechanisms for AI in the UK and abroad. He is also a member of the Alan Turing Institute's Data Ethics Group, where he contributes to the Institute's research on ethical approaches to data use and best practices in data science.

Coran is a keen advocate for the ‘levelling up' of international standards and best practices in the deployment of AI in the public and private sector. He is a committee member and advisor to the British Standards Institute's ART/1 AI and IST/6 Data Communications programs, where he contributes to the development of technical and organizational best practices and standards for the ethical and responsible deployment of AI and data. As a recognized expert on AI by the OECD's AI Policy Observatory, Coran contributes to the work of the OECD's Expert Groups on AI Incidents and AI Risk & Accountability which focuses on creating frameworks and practices for the development of a responsible and trustworthy international AI environment. Coran is also a non-governmental member of the UK Government's All Party Parliamentary Groups for AI and Data Analytics, which focuses on the advancement of the UK's regulatory environment in the face of new international approaches to AI and data and technological advancements in the industry.