The Dog House Dice Show

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The policies in question do not mention the practice of responsible gaming and do not detail other legal and regulatory obligations. They also do not specify the resources used to validate certifications, monitor licences and content, identify irregular practices and operators, or apply moderation measures. 

The absence of governance policies aligned with current regulations and Instagram’s algorithmic recommendations reveals not only an ecosystem that fuels gambling as an alternative to work, but above all, points to a systemic risk in which Meta is a major player. This risk can only be effectively addressed by expanding the obligations of digital platforms.

In this sense, it is necessary to expand the regulatory norms of the SPA and the National Data Protection Agency, beyond transparency reports and the mandatory removal after notification of official administrative decisions, but also with the mandatory inclusion of social and technological resources for monitoring, identifying and moderating this ecosystem.

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Amid a string of losses in federal appellate courts, it appears increasingly prediction markets are angling to take their cases to the U.S. Supreme Court, banking that the high court will allow them to continue offering sports event contracts free of state gambling regulations.

Some legal experts and members of the investment community believe it’s possible the Supreme Court could hear a prediction market case at some point over the next six or seven months.

The post Macquarie: Prediction Market ‘Taker’ Volume to Reach $190 Billion in 2026 appeared first on Casino.org.

What is The Dog House Dice Show?

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.