UKGC Lags on AI, FOI Request Reveals
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A Freedom of Information (FOI) response has revealed that the UK Gambling Commission (UKGC) is not using a range of common artificial intelligence (AI) and machine learning (ML) techniques to analyse its data.

The disclosure raises questions about the regulator's capacity to keep pace with a gambling industry that increasingly relies on sophisticated algorithms for everything from marketing to identifying at-risk players. For consumers, it highlights a potential gap between the technology used by operators and the tools employed by the body responsible for overseeing them.

The FOI Request and Response

The request, dated 11 July 2023, asked the Commission to confirm whether it used any of six specific, well-established data analysis methods on its datasets. These included:

  • Perceptron
  • K-means clustering
  • K-nearest neighbours
  • Support vector machines
  • Natural Language Processing (NLP)
  • Random forests

In response to whether it had used any of these methods, the UKGC provided a one-word answer: 'No'.

Subsequent questions asking for details on how such tools were used to protect vulnerable people, ensure a fair market, or prevent crime were marked as 'N/A'. The official outcome of the request was 'Information not held', confirming that the UKGC does not possess any records related to the use of these technologies because the activity is not taking place.

Significance for Regulation and Consumer Protection

While gambling operators use complex AI to analyse player behaviour for commercial and, increasingly, player safety purposes, this response suggests the regulator is not employing similar methods for oversight. The FOI specifically queried how such tools would be used to support the UKGC's strategic objectives, including:

  • Protecting children and vulnerable people from being harmed by gambling
  • Ensuring a fairer market and more informed consumers
  • Keeping crime out of gambling

By confirming it does not use these common AI techniques, the Commission's response indicates that its current regulatory analysis may rely on more traditional data processing methods. As the industry's use of AI becomes more widespread and integral to operations, the UKGC's own technological capabilities will be crucial for effective consumer protection and market oversight in the years ahead.

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Written by

Research & Data Lead

PhD in Public Policy, London School of Economics. Member of the Royal Statistical Society. Published in the Journal of Gambling Studies and Addiction Research & Theory.

Dr. Chen holds a PhD in Public Policy from the LSE and has 8 years of experience in quantitative research, including 3 years as a Research Fellow at the Responsible Gambling Trust analysing operator self-exclusion data.

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UKGC Freedom of Information AI Machine Learning Regulation Consumer Protection Data Analysis

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