This event has been held.
About the event
AI held significant potential for the public sector, from more efficient case processing and enhanced decision support to new, data-driven ways of delivering services to citizens and businesses. This potential was being challenged by a new geopolitical reality, one that was evolving rapidly and often unpredictably. With a growing focus on digital sovereignty, issues of data control, technological dependence, and security were coming to the forefront.
This placed the public sector in a complex balancing act between the need to quickly and responsibly realize the value of AI and the need to maintain control over data and critical public systems.
At this event, we focused on exactly this balance. Through three presentations and a concluding panel discussion, we delved into strategic perspectives on data sovereignty and concrete practical experiences with the secure use of AI. The event provided insights into how public organizations work with AI, especially concerning the choice of technological solutions, governance models, and risk management in a complex world marked by increasing uncertainty.
We invited four key voices to the stage to share their perspectives on direction, implementation, and the necessary trade-offs involved when public organizations face the challenge of balancing the potential of AI with digital sovereignty.
Key takeaways
Participants gained:
- Insight into the current strategic challenges behind the use of AI in the public sector
- An understanding of the field of tension between AI's potential and digital sovereignty
- Practical insights from organizations that had already implemented AI solutions
- Insight into different technological approaches to AI (choosing between cloud and on-premises solutions)
- Inspiration for governance, risk management, and the responsible use of AI
- An opportunity to network with key stakeholders
Who attended?
The event targeted decision-makers and key professionals across the public sector who work with (or have an interest in) the use and scaling of new technologies and AI.