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The web of lawsuits and court rulings involving prediction markets has greatly complicated the issue of jurisdiction. Kalshi has been forced to limit trading in multiple states, most notably Nevada, and the CFTC has gone to unprecedented lengths to protect its licencees. This includes suing nine states directly and issuing emergency orders to reject state mandates.
CFTC Chairman Michael Selig is currently the lone sitting commissioner for an agency that traditionally features a bipartisan group of five. Selig has repeatedly defended both the legitimacy of prediction markets as financial assets and the role of the CFTC in overseeing them. The CFTC under his direction has embarked on a series of rule proposals regarding prediction markets, although detractors argue that the proposed changes still allow for sports contracts and in some ways could be seen as a tightening of the belt to make a Supreme Court review look more favourable.
“It’s not a question of whether innovations like blockchain, artificial intelligence, and prediction markets will transform our markets. It’s a question of where this innovation will take place and who will write the rules,” Selig said during a meeting of the CFTC’s Innovation Advisory Committee on 20 August, which featured the CEOs of Kalshi, Polymarket, DraftKings, CME Group and more.
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As of yet, the Securities and Exchange Commission (SEC) hasn’t approved the aforementioned NHL futures ETFs.
For the right audience, likely professional traders and sophisticated retail investors, the CME futures on FutureSports indexes could amount to “Goldilocks” offerings because the derivatives aren’t standard sports bets nor are they carbon copies of the event contracts traded on prediction markets.
The MLB and NHL futures contracts could be deployed by big-money bettors as hedges on various team exposures over the course of those leagues’ seasons.
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“The AI gaming charter translates these principles into practical, sector-specific guidance,” he added.
The charter also made a series of other recommendations. It suggested that companies should designate a senior member of staff responsible for governance of the technology. It additionally recommended an AI oversight or ethics committee.
The framework also urged companies to implement rollback mechanisms and “kill-switch” controls for higher-impact systems.