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The bitter, longstanding feud between Station Casinos and the Culinary Union in Las Vegas took another turn this month, this time to Washington, DC and the US Supreme Court.
On 4 September, Chief Justice John Roberts denied Station’s emergency request for a stay of a federal appeals court decision that ordered the company’s Red Rock Casino Resort Spa in Summerlin to comply with a National Labor Relations Board mandate and bargain in good faith with the union following a failed labour vote in late 2019. Roberts gave no explanation for the denial.
The NLRB ruled after the election that Red Rock took steps to prevent a fair union vote, and Red Rock sued in response, although the ruling was upheld by the US Court of Appeals for the District of Columbia last month. After the court denied a rehearing request on 6 August, it also subsequently denied Station’s request for a stay pending SCOTUS relief on 24 August.
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The commission also agreed with the state Department of Commerce’s assessment that the cooperative’s actions were driven by concerns over lost electricity sales rather than legitimate safety risks.
Commissioners pointed to evidence suggesting the tribe may have already been overcharged compared to other member customers.
The Upper Sioux Community also argued that, as a sovereign tribal nation, it is not subject to Minnesota utility regulations. The commission declined to rule on the sovereignty question, concluding it was unnecessary to resolve that issue to determine that Minnesota Valley could not prevent the casino from generating its own power.
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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.
“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.
