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Researchers conducted a rapid desk review of 53 relevant sources, three deliberative focus groups segmented by gambling product type (sports betting, online casino/slots and land-based gambling) and four in-depth interviews with people identified as being at higher risk of harm (Problem Gambling Severity Index (PGSI) score of 8 or more). 

A total of 22 participants were purposely recruited to provide detailed insights.

Participants broadly accepted the principle that gambling information should be transparent and accessible, but many reported difficulty interpreting or using it effectively in practice. 

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Instead, it proposed a risk-based approach. It suggested lighter controls on use cases such as coding assistants, but strong checks on customer-facing functions, particularly those involving fraud and responsible gambling.

Kenneth Brincat, CEO of the MDIA, said companies needed “practical ways” to better understand where AI fits within their businesses.

“Trust is fundamental to the responsible adoption of AI. As its use becomes increasingly embedded across the gaming sector, organisations need practical ways to understand where AI is being used, manage the associated risks and ensure that accountability and human oversight remain firmly in place,” he said.

About Mega Fire Blaze Las Luchas

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