Instructions for Joining
The Training Seminar:
AI for Public Affairs Masterclass
Strategies, Use Cases and Tools for Monitoring, Automation and Impact
Thank you for registering for the Training seminar, “AI for Public Affairs Masterclass: Strategies, Use Cases and Tools for Monitoring, Automation and Impact”
The event will begin on Tuesday, March 10th at 09:30 am, (Brussels) and will end at 12:30 CET.
Audio will be streamed to your device. We recommend you use headphones or earbuds for clarity. You also have the option to turn on or disable your webcam.
You can view your local time for the event here.
Shortly before that time, please click on the link below:
LOG IN TO EVENT (opens in a new tab)
Should you prefer, you can also join the event manually:
Go to: https://zoom.us/join or open the Zoom app and enter:
Meeting ID: 838 5902 2643
Passcode: 722749
Troubleshoot joining a Zoom meeting.
Still have issues? Email us at [email protected] for assistance, including an immediate response during time of broadcast.
Agenda:
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Using AI to monitor issues, map stakeholders and identify networks of influence, including policymakers, coalitions and emerging actors
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Practical workflows for turning large volumes of policy information into actionable intelligence
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Risks and limitations of AI-driven analysis, including bias, verification challenges and the continued role of human judgment
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Identifying public affairs workflows that can be automated, from policy summaries to internal briefings and reporting
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How AI can enhance policy monitoring and intelligence gathering in Brussels across legislative, regulatory and political developments
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Governance and responsible use of AI, including accuracy, data security and internal oversight
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Real-world use cases of AI for public affairs, from content creation to stress-testing your strategy, scenario planning and conducting more efficient team meetings
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Approaches to measure AI impact on public affairs and communicate its value internally
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Share your views – virtual discussion on AI challenges, use cases and lessons learned