Odaily Planet Daily reports that the prediction market platform Kalshi is internally deploying an AI agent system called "Harrison" to optimize its prediction market contract design and conduct stress tests on betting outcomes, reducing risks of errors and ambiguities in high-volume trading. According to co-founder Luana Lopes Lara, the AI tool is already being used to manage critical internal processes across millions of daily platform transactions, primarily addressing the complexity of wording and rules in event contracts related to political elections, sports events, and award outcomes.
Kalshi stated that "Harrison" is helping the team proactively identify potential flaws in contract design, reducing disputes arising from ambiguous definitions, thereby enhancing market stability and execution efficiency. As trading volume in prediction markets grows, this AI system is regarded as a critical infrastructure upgrade, improving contract standardization and automated governance capabilities. (Bloomberg)