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The text also prohibits bets placed using credit cards, the use of predictive models to identify moments of greater vulnerability, and platform design mechanisms that hinder a conscious decision to stop betting, leave the service, or activate limits and blocks. Operators must maintain permanent alerts about compulsive gambling, indebtedness and asset loss, and adopt verifiable protocols for identifying risky behaviour.
The proposal establishes criteria for classifying products according to their potential for harm. Among the characteristics considered are instantaneous or short-lived results, continuous repetition at short intervals, use of random mechanisms to determine the outcome, intermittent rewards, near-miss incentives, incentives to recover losses and features that make it difficult to stop betting or induce successive, impulsive, or increasingly valuable bets.
Products offered to the public must undergo prior evaluation by a competent body of the Federal Executive Branch, to be defined in regulations. Products classified as high-risk will be subject to specific harm reduction measures. Products with excessive risk may not be offered. This category includes products with outcomes determined by random mechanisms, continuous cycles and variable rewards, such as roulette, slot machines, collision games and simulated virtual sports.
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The proposal does not explicitly prohibit the display of betting brands on team jerseys, but some city councillors want to include this in the bill.
Clubs fear the measure will jeopardise revenue from betting company sponsorships. Corinthians (Esportes da Sorte), Palmeiras (Sportingbet), and São Paulo (Superbet) alone hold contracts worth BRL350 million annually with betting firms.
One concern is the measure might force clubs to host matches outside the city to maintain their advertising agreements.
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That study found that AI adoption across the gambling industry remained uneven. It highlighted customer support, data analytics, fraud detection, and responsible gaming as areas where the technology was already being heavily used.
However, it also found that formal governance of AI was struggling to keep pace with its growing usage. Only a minority of organizations surveyed reported having a formal AI strategy or roadmap. Many said one remained in development.
The MGA also found that only a small number of respondents had fully established AI risk assessment processes or incident-response plans.
