Legal Guidance and Research / Experts / William Dunning
William Dunning#11104

William Dunning

Simmons & Simmons
William is an associate in the Simmons & Simmons’s Disputes & Investigations group in London. He regularly acts for clients on complex commercial disputes across a range of sectors and jurisdictions, with a particular focus on telecommunications, media and technology (TMT) and energy matters.
 
William is a member of the firm’s Cross-Border Arbitration Group and has experience advising and representing clients in arbitration under the LCIA, ICC, HKIAC and UNCITRAL rules, as well as in various arbitration-related court applications. He is a member of the LCIA and a qualified Solicitor Advocate (Higher Rights Civil).

William is also a member of the firm’s Artificial Intelligence Group and regularly advises clients on legal and regulatory issues relating to AI. He has published a number of articles and book chapters the law of AI.

Practice Area

Panel

  • Contributing Author

Qualified Year

  • 2020

Experience

  • Simmons & Simmons LLP (2018 - 2023)
  • Linklaters LLP (2015 - 2017)

Membership

  • London Court of International Arbitration (LCIA)
  • LCIA Young International Arbitration Group
  • ICC Young Arbitrators Forum

Qualifications

  • BA Economics (2012)
  • Graduate Diploma in Law (GDL) (2013)
  • LLM (Law and Economics) (2014)
  • Legal Practice Course (LPC) (2015)

Education

  • University of Durham (2012)
  • BPP Law School (2013)
  • Queen Mary University of London (2014)
  • BPP Law School (2015)

1 Contributions by William Dunning

AI explainability: UK and EU legal frameworks (GDPR, DPA 2018, EU AI Act), ICO guidance, and practical steps for audits, impact assessments and transparency statements
PRACTICE NOTES
AI explainability: UK and EU legal frameworks (GDPR, DPA 2018, EU AI Act), ICO guidance, and practical steps for audits, impact assessments and transparency statements
Explainability has become a key pillar of ethical, responsible artificial intelligence (AI) and is now a common expectation within developing AI laws and rules. This Practice Note explores the explainability of AI, covering: What AI explainability means Why explainability matters Regulatory guidance on explainability The legal context for explainability Practical approaches to deliver explainability For more on AI, see Practice Notes: Artificial intelligence and machine learning—an introduction to the technology Artificial intelligence—data protection Artificial intelligence—intellectual property Artificial intelligence in the EU—the key legal issues The AI project lifecycle—a quick guide Negotiation guide—AI contracts Contractual considerations for the procurement of artificial intelligence—checklist For AI contract clauses, including issues of explainability and transparency, see: AI clauses—Warranties. For a timeline of key legal developments on AI, see Practice Notes: UK artificial intelligence—tracker and EU Artificial intelligence—tracker. What is AI explainability? The nature of artificial intelligence The conceptual groundwork for modern AI was set in the 1950s. Yet only in recent years has AI—particularly ‘machine learning’—advanced at pace...
TMT
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