Finding the use case for AI in crisis training isn't straightforward. But there are definitely some amazing opportunities to level up your rehearsal experience using AI tools.
Here's how the Social Simulator team use AI to help deliver immersive and engaging exercises for ExxonMobil, L'Oréal and Rolls-Royce.
Opportunities for using AI in crisis training
- speed up overall content production. Extend the duration of a exercise, or deliver exercises more quickly, by using AI to produce visuals, role played characters or script ideas.
- increase the volume of content and the number of characters. Strong crisis teams need a high noise to signal ratio, to test their ability to monitor and prioritise information. Use AI to produce multiple media articles and thematic social media content from thousands of fictional, but realistic, characters.
- generate images, audio and video that might otherwise not be possible. Incidents involving aircraft, terrorism or pollution demand detailed imagery. This helps participants feel immersed in the exercise, as well as provide valuable source material for them to analyse.
- research similar real-life scenarios, key commentators, audience groups and media outlets. Having the right historical and contextual information at your fingertips helps to make an exercise as realistic and bespoke as possible.
Weaknesses:
- reactive input still needs human oversight. AI isn't yet able to deliver the necessary interpretation and nuance needed to simulate social media engagement.
- there is little space for development of participant skills. AI assessment of a crisis response is likely to produce a pass/fail outcome, rather than clear opportunities for improvement.
- AI is brilliant at generating quantity of content, but not always quality. Where images, media coverage and data are needed for scrutiny in an exercise, these need to be created by a human.
- beware of confusion among participants reviewing AI-generated content: 'is this supposed to be misinformation?'
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