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Duration 14 hours
Course Outline
Introduction to AI-Enabled Public Service Support
- Analyzing AI-mediated interactions with the public
- The function of prompt engineering in automated response systems
- Common operational challenges in AI-assisted service delivery
Core Principles of Prompt Engineering for Public Service
- Essential guidelines for constructing effective prompts
- Refining language to ensure precision and clarity
- Addressing diverse citizen needs and sentiments
Sophisticated Methods for Optimizing Automated Assistants
- Tailoring prompts for distinct stakeholder profiles
- Mitigating generative errors and enhancing response reliability
- Utilizing feedback mechanisms for ongoing system refinement
Automating Service Delivery with Artificial Intelligence
- Formulating prompts for standard public inquiries
- Managing escalations and complex cases through AI
- Integrating AI capabilities with case management and record-keeping systems
Ethical Frameworks for AI in Public Service
- Guaranteeing equity and minimizing algorithmic bias in interactions
- Maintaining transparency and public trust in automated support
- Adhering to federal data privacy and protection standards
Operational Case Studies and Practical Applications
- Effective implementations of AI support tools in the public sector
- Key insights derived from AI-assisted service operations
- Emerging trends in AI and public engagement for government
Practical Workshops
- Development and evaluation of AI-driven support interfaces
- Enhancing system outputs via prompt refinement
- Scenario-based simulations and troubleshooting exercises
Conclusions and Strategic Recommendations
Requirements
- Foundational knowledge of AI-based assistance tools and automation processes
- Proficiency with public service support procedures
- Practical experience in building automated assistants (recommended but not mandatory)
Target Audience
- Public service delivery teams
- Developers of automated assistant systems
- Automation systems engineers
Testimonials (2)
Comprehensiveness about the backround; how to do a prompt.
Olaf Kannt - Helios Klinikum Krefeld
Course - Generative AI and Prompt Engineering in Healthcare
use of proper and effective prompt