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The charter does not create new regulatory obligations and was designed to complement legislation including the EU AI Act and GDPR.
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.
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They must also evaluate their current technical safeguards to ensure alignment with regulator expectations and certification standards.
Safeguarding has reappeared as a focal point for the regulator. In July of this year, ANJ imposed a €500,000 ($572,797) fine on an unnamed online betting operator, referred to as Company X, for not adequately identifying and supporting customers exhibiting signs of problematic gambling.
The fine followed an investigation that found Company X had failed to correctly identify 29 high-risk players at an appropriate risk level. Six players were missed entirely and 23 were misclassified at a lower risk tier.
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According to the survey, the problem arises when a user follows a single account related to betting. The platform’s recommendation system then starts showing other profiles in the same segment, including betting sites, influencers and specialised pages.
Among the 100 most recommended profiles are accounts that, together, have accumulated more than 6 million followers and 114,000 posts. There are three main types of profiles recommended by Instagram: operators, content creators and media specialising in the betting market.
The research also identified content that associates betting with investments and the possibility of income.
