About this app
What is Fang City?
The law came at the request of Full House Resorts, the Las Vegas-based regional gaming operator that expressed interest in relocating its Rising Star Casino in Rising Sun to a more attractive market, specifically in the northeastern part of the state.
During the lawmaking process, Full House’s exclusivity was stripped in favor of welcoming any company currently licensed as a commercial casino in the US to bid on the possible license. Lawmakers also threw in a one-time $150 million fee for the concession and a mandatory investment minimum of $500 million, all but ending Full House’s interest.
“The bill changed many times. We make money in Rising Sun. We always have, not a lot of money, but we make money. We continue to make money in Rising Sun. And we will continue to do that for our shareholders, as well as for the good of the state,” Full House CEO Daniel Lee said in March.
About Fang City
He emphasised the new system would make burdens less demanding than before, but the new ‘exit plan’ requirement and sharper duty‑of‑care definitions do bring some added complexity.
The KSA said that applicants were previously required to detail corrective actions taken to address previous breaches and outline measures to prevent future violations.
All submissions must also now include an exit plan – a new obligation that applies across the board. This requirement, intended to ensure orderly market withdrawal, marked a move toward embedding long-term risk management into the licensing process.
About Fang City
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.
For AI-powered customer support and chat, operators are encouraged to set clear parameters for when conversations should be moved to a human member of staff. These include repeated low-confidence responses, unresolved queries, indications of distress, or a customer simply asking to speak to a human.
