We’re really excited to talk about the launch of our second public Riskgaming scenario, “DeepFaked and DeepSixed: AI Election Security and the Future of Democracy.”

DeepFaked and DeepSixed is a bit different from our previous political and economic simulations, which tend toward groups of 4-8 people negotiating, haggling and cajoling over the course of several hours. Instead, this game centers on an intelligence fusion center at the White House where 54 people come together to offer information and to seek out patterns of threats against American democracy. Player roles come from across government, international organizations, the private sector and non-profits, and are designed to offer both a crisp backstory as well as essential clues relevant to that character’s background. Everyone cooperates against the clock to identify critical threats before it is too late.

Lux’s director of programming Laurence Pevsner (who is making his Riskgaming podcast debut) and host Danny Crichton talk about the design of the game, what triggered its creation and the lessons we learned from two runthroughs in New York and Washington this week (including which city did better to protect American elections).

Chris Holmes

The AI-powered Podcast Player