Kill Em All

What is Kill Em All?

“The time was right to reassess this crucial policy area, focusing on the topic of gambling advertising where the former committee’s strong recommendations have been largely unaddressed and where substantial developments in the gambling advertising landscape since 2020 have demanded a re-evaluation of the policy options,” he said.

The committee has advocated for applying a public health framework to gambling advertising regulation. It criticised the existing patchwork of self-regulation, noting the Advertising Standards Authority (ASA) codes, co-regulation for broadcasts and industry-led voluntary measures, were inadequate.

Instead, the report recommended that advertising regulation be placed on a statutory footing under the Gambling Commission. 

What is Kill Em All?

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.

“The AI gaming charter translates these principles into practical, sector-specific guidance,” he added.

What is Kill Em All?

“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.”

But while the ARGN intends to enhance collaboration between stakeholders across the continent, Akolade asserts the aim is to promote “common principles rather than identical regulations”.

Akolade explains: “Every African country has its own legal framework, culture, and level of market development, so a single model might not work everywhere.