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Coran Darling

Coran Darling

Associate
About

Coran Darling is a dual-qualified technology lawyer whose practice focuses on guiding companies as they navigate the challenges of emerging technology regulations and policy across the world, with a focus on AI, open-source software, and data governance.

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.

Coran is licensed to practice in England & Wales and the State of New York.

Bar Admissions / Professional QualificationsSolicitor of the Senior Courts of England and WalesNew York

EXPERIENCE

  • Selected by the EU artificial intelligence office to contribute to the development of its general-purpose AI code of practice.
  • Advising several artificial intelligence, robotics, and software companies on understanding and mitigating regulatory risks.
  • Developing comprehensive internal governance and responsible AI frameworks and policies compatible with international best practices and regulation.
  • Creating generative AI standards and policy for multinational organizations seeking compliance with multiple jurisdictions.
  • Briefing C-Suite members of international technology organizations on AI technical compliance and regulatory risks.
  • Drafting company and non-governmental organization responses to enquiries into development of future AI regulation and regulator guidance, including product liability, safety, and intellectual property.
  • Advising international technology companies on ownership of AI generated works, including computer code and synthetically authored text.
  • Performing comprehensive assessments of cybersecurity threat vectors for international industrials organizations.
Languages
  • English
  • Spanish
Education
  • L.P.C., University of Law

    MS.c., University of Law

    LL.M., Innovation, Technology, & the Law, University of Edinburgh

    LL.B., Law (Honours), University of Edinburgh

Publications and media

  • "Legal red teaming: A systematic approach to assessing legal risk of generative AI models," 05 June 2024
  • "Colorado enacts first-in-the-nation comprehensive AI guardrails," 28 May 2024
  • "Living with the Algorithm: Servant or Master? AI Governance and Policy for the Future," 20 May 2024
  • "Senate unveils long-anticipated AI roadmap," 15 May 2024
  • "Congressional Federal Data Privacy Proposal sets broad mandates for AI," 26 April 2024
  • "Deciphering OMB's guidance to agencies on AI: A blueprint for responsible AI in government," 11 April 2024
  • "Ensuring ethical AI: Key insights and compliance strategies from the Rite Aid FTC settlement," 12 January 2024
  • "Navigating the digital dilemma: Court addresses social media liability in adolescent addiction litigation," 11 January 2024
  • "European Medicines Agency publishes five-year AI workplan," 02 January 2024
  • US senators introduce bill to establish AI governance framework, 16 November 2023
  • "G7 publishes guiding principles and code of conduct for artificial intelligence," 06 November 2023
  • "Secure, safe, and trustworthy: Common ground between the US AI Executive Order and the EU AI Act," 02 November 2023
  • "Safe, secure, and trustworthy: White House publishes Executive Order setting the foundations for future AI regulation in the US," 31 October 2023
  • "White House to unveil landmark Executive Order setting foundations for future AI regulation in the US," 30 October 2023
  • "Red teaming: A practical guide to testing AI models," 18 October 2023

Seminars

  • Panelist, "Responsible AI and AI Risk Frameworks," Dallas Bar Association (October 23, 2024)
  • Panelist, "AI for Corporate Counsel," Ontario Bar Association (October 29, 2024)
  • Training Facilitator, DLA Piper APAC Artificial Intelligence Primer, DLA Piper Bangkok (February 2022)
  • Invited Speaker, Data Economy: Balancing Privacy, Innovation and Regulation, TGS Baltic International Data Summit (March 2023)
  • Subject Matter Expert, Neurotechnology, Law, and the Legal Profession, The Law Society (February 2023)
  • Subject Matter Expert, AI and the Future of Professional Knowledge, The Law Society (April 2023)
  • Subject Matter Expert, Evidentiary Meeting: UK Government Enquiry into Artificial Intelligence and Creativity, UK Government Science & Technology Select Committee (May 2023)
  • Panelist, How Should Businesses Respond to the EU's First-ever AI Law?, The AI Summit - London (June 2023)
  • Speaker, Is Your Business “Dependent” On A Person? Economic vs. Ethical Considerations, Applied Intelligence Live! (September 2023)
  • Speaker, Revolutionizing Energy Infrastructure: Utilizing AI for Smart Grid Optimization and Building Efficiency, Green Tech Summit – New York (September 2023)
  • Panelist, AI Bill Of Rights: Governance and Ethics, Applied Intelligence Live! (September 2023)
  • Panelist, AI: Climate's Friend or Foe, Green Technology Conference – Dubai (December 2023)
  • Panelist, Can There Be Regulation that Supports Innovation?, The AI Summit – New York (December 2023)
  • Panelist, Hot topics in global class action - Technology, AI, Smart Cars, and Electric Vehicles, Global Class Action Summit (December 2023)
  • Panelist, Impact Assessment - The Environmental Cost of AI and Digital Infrastructure, AI Summit Singapore (May 2024)

Memberships and Affiliations

  • Alan Turing Institute, Data Ethics Group
  • British Standards Institute, ART/1 Artificial Intelligence Standards Committee
  • British Standards Institute, IST/6 Data Communications Standards Committee
  • European Commission, European AI Alliance
  • National Institute of Standards and Technology, Generative AI Working Group
  • OECD AI Policy Observatory, Expert Network on Artificial Intelligence
  • OECD AI Policy Observatory, Expert Group on AI Risks and Accountability
  • OECD AI Policy Observatory, Expert Group on AI Incidents
  • Responsible AI Institute, AI Fellow
  • Sedona Conference Working Group, Data Security and Privacy Liability
  • Society for Computers and Law, Specialist Artificial intelligence Group
  • The Law Society of England & Wales
  • UK Government All Party Parliamentary Group for Artificial Intelligence
  • UK Government All Party Parliamentary Group for Data Analytics

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