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100% fundable

AI+ Policy Maker™

Political responsibility calls for technical literacy. Anyone aiming to regulate, promote, or deploy AI systems needs to understand their real-world impact. This course delivers the knowledge required – practical and without any coding background needed.

Key topics

  • Scope and structure of current AI regulation across global jurisdictions.
  • Building effective guidelines for AI use within organizations.
  • Consequences of algorithmic decision-making for society and public administration.
  • Approaches to traceable, fair, and resilient AI governance.
  • Connecting technology, ethics, law, and the public sector.

Prerequisite
No technical background required – an open interest in digital developments and their regulatory implications is sufficient.

Target group
Professionals from public administration, academia, politics, and business who want to actively contribute to shaping responsible AI frameworks.

The knowledge gained provides a solid foundation for AI-related decisions – transparent, ethically sound, and built for the long term.
 

course content
  • Core terms and concepts in AI made accessible
  • Milestones in the history of AI development
  • Current AI technologies and their practical applications
  • Upcoming trends and what they mean for politics and society
  • Essential AI vocabulary for political decision-makers
  • How AI is used in public institutions and government services
  • Real-world examples of AI in public administration
  • AI as a tool for regulatory enforcement and compliance
  • Common obstacles when deploying AI in public bodies
  • Strategic considerations for AI implementation in the public sector
  • Guiding principles of responsible AI development and use
  • Algorithmic bias, discrimination, and fairness considerations
  • Data privacy and security in AI contexts
  • Societal and economic effects of widespread AI adoption
  • Human rights standards and requirements for AI systems
  • Mapping international AI regulatory frameworks and key differences
  • Data governance, management, and relevant data protection legislation
  • Intellectual property considerations in AI-generated content
  • Accountability and liability in AI system failures
  • Drafting and shaping AI-specific laws and policy instruments
  • Security requirements and reliability standards for AI systems
  • Frameworks for AI risk analysis and mitigation
  • The relationship between AI and cybersecurity
  • Building stability and resilience into AI applications
  • Managing incidents and crises involving AI failures
  • How AI reshapes labor markets and employment structures
  • AI’s contribution to national and global economic growth
  • Creating conditions for AI-driven innovation and entrepreneurship
  • Opportunities and challenges of AI in less developed regions
  • Addressing economic inequality through AI policy
  • Designing and executing national AI strategies
  • Developing AI capabilities within government institutions
  • Structuring collaboration between public and private actors
  • Funding mechanisms and investment frameworks for AI initiatives
  • Evaluating and continuously improving AI programs
  • Emerging AI technologies and their implications for policymakers
  • Cross-border cooperation and coordination in AI governance
  • Aligning AI policy with the Sustainable Development Goals (SDGs)
  • Public participation, accountability, and transparency in AI decisions
  • Where AI regulation is headed globally – trends and scenarios

Up to 100% funding for your continuing education

Attractive funding opportunities are available for numerous continuing education programs – depending on the funding program, up to 100% funding is possible.
The requirement is that you live or work in Germany. Our funding opportunities are not available outside of Germany.

Funding opportunities are available for career starters, job seekers, career changers, startups, experienced professionals, those seeking career advancement, and specialists.