Cambridge
Academy
In London
Course Description
Introduction
In a world of fast-spreading news, AI helps predict crises, detect misinformation, and protect organizational reputation. This course focuses on AI applications in proactive and reactive crisis communication.
Objectives
- Understand AI applications in reputation monitoring.
- Learn to detect misinformation and fake news with AI.
- Apply AI tools in crisis prediction and response.
- Build an AI-powered crisis communication framework.
Audience
- Crisis communication managers
- PR strategists
- Corporate executives
- Risk management officers
5-Day Outline
Day 1: AI in Crisis Communication
- Role of AI in predicting and managing crises
- Reviewing real-world crisis communication failures and successes
- AI in online reputation management
- Case study: AI and corporate brand recovery
- Discussion: Limits of AI in high-stakes crisis situations
Day 2: Real-Time Monitoring & Misinformation Detection
- Tools for monitoring misinformation and fake news
- Social listening platforms and AI filters
- Tracking emerging narratives and rumors
- Analyzing sentiment shifts in real time
- Exercise: Detecting fake news using AI
Day 3: Predictive Analytics for Early Warning Signals
- Introduction to predictive analytics in communication
- Identifying risk factors using AI models
- Building a predictive crisis dashboard
- Case study: AI detecting brand risk early
- Group work: Develop an early warning system
Day 4: AI-Driven Response Strategies
- Using AI-powered chatbots for stakeholder communication
- Automating FAQs and responses during crises
- Designing workflows for rapid response with AI
- Roleplay: AI in social media crisis management
- Workshop: Drafting AI-enhanced crisis messages
Day 5: Simulation Exercise
- Full-scale simulation of a PR crisis scenario
- Teams use AI tools for crisis detection and response
- Presentation of strategies and lessons learned
- Expert feedback on crisis handling
- Closing discussion: Future-proofing crisis management with AI