Submission Title

Predicting Risk to Sustainable Play - An AI Journey

Session Title

Session 2-3-D: Policy and Regulation, Part 5

Presentation Type

Paper Presentation

Start Date

24-5-2023 1:30 PM

End Date

24-5-2023 3:00 PM

Disciplines

Data Science

Abstract

Using AI to predict potentially problematic play has often focused on self cancellation, using supervised learning. Practice typically centres on isolating the small group of players who may develop elevated signs of risk or harm. But the increases use of tools like bank blocks means we need new approaches to predicting risk. And increasingly, we want to focus on the whole player base.

This presentation aims to:

  • Outline an unsupervised learning approach to predicting risk from patterns of play
  • Explore the potential for AI to be used to measure sustainable as well as potentially risky play
  • Place sustainable play in the wider context of personalised player journeys driven by AI

Keywords

AI, sustainable play, personalisation, safer play

Author Bios

Chris is the Chief Data Officer of Future Anthem, whose Amplifier AI product personalises every step of the player journey.

Chris has been focused on the practical application of AI across the gambling player journey for the last 7 years, serving as the Head of Data Science at Rank Group prior to Future Anthem.

Funding Sources

none

Competing Interests

none

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May 24th, 1:30 PM May 24th, 3:00 PM

Predicting Risk to Sustainable Play - An AI Journey

Using AI to predict potentially problematic play has often focused on self cancellation, using supervised learning. Practice typically centres on isolating the small group of players who may develop elevated signs of risk or harm. But the increases use of tools like bank blocks means we need new approaches to predicting risk. And increasingly, we want to focus on the whole player base.

This presentation aims to:

  • Outline an unsupervised learning approach to predicting risk from patterns of play
  • Explore the potential for AI to be used to measure sustainable as well as potentially risky play
  • Place sustainable play in the wider context of personalised player journeys driven by AI