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Akolade said the ARGN was established to address the fragmented nature of responsible gambling efforts across Africa and create a platform for greater collaboration between organisations working in the space.
“ARGN was created because problem gambling is becoming a bigger issue across Africa and most responsible gambling efforts still happen within individual countries,” Akolade tells iGB. “While many organisations are doing great work, there has been limited opportunity to learn from each other, share research, or work together on common challenges.
“We felt there was a gap for a continent-wide network that could connect organisations, encourage collaboration, and help build a stronger collective voice on player protection. ARGN is not here to replace national organisations or regulators. Its purpose is to support and strengthen the work already being done by bringing people and organisations together.”
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Notably, Spectrum said within its report that it did not believe Evolution had engaged in any illegal practices. It also refuted allegations concerning cash payments and the use of Evolution’s games in sanctioned countries.
However, Playtech suggested that Evolution had failed to provide data that would have let Spectrum determine whether gaming sessions had occurred in Iran, Syria and Sudan.
It also said Spectrum was able to “specifically corroborate” Black Cube’s claims that Evolution’s games were accessible and generating revenue in several “prohibited locations”. These included Hong Kong, Singapore, the United Arab Emirates and Saudi Arabia.
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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.