The AI Summit New York

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Coran Darling

Coran Darling

Associate - AI & Data Analytics, DLA Piper
United States

Coran is a recognized thought leader on the responsible governance and ethical deployment of AI, often contributing to international media, including Sifted by the Financial Times and Tech Monitor, and is a contributing author to recent publications alongside members of the UK’s House of Lords on matters of international AI governance.

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 its enquiry into developing future regulatory mechanisms for AI in the UK and abroad. Coran is 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. He is also a member of the Alan Turing Institute's Data Ethics Group, where he contributes to the Institute's development of ethical approaches to data use and best practices in data science, and is a Fellow of the Responsible AI Institute, where he furthers the industry’s understanding of approaches to the responsible deployment of AI.

Alongside his work and research, Coran is a keen advocate for the “levelling up” of international standards, best practices, and policy in the development and deployment of AI. He is a committee member and advisor to the British Standards Institute's (ISO) ART/1 AI and IST/6 Data Communications programs and member of NIST's AI Safety Consortium in partnership with the US Department of Commerce, where he contributes to the development of technical and organizational best practices and standards for the ethical and responsible deployment of AI and data. Recognized for his work on AI by the OECD's AI Policy Observatory, Coran contributes to the work of the OECD's Expert Group 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.

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