Course Outline

Welcome and Introduction

Fundamentals of Artificial Intelligence for Government

  • Definitions and functions of artificial intelligence (AI) in the public sector
  • Differentiation between machine learning, neural networks, and other AI technologies for government applications
  • Practical application areas for government operations and services

Legal Framework for Government

  • Overview of the EU AI Act and its national implementation in U.S. contexts
  • Compliance with the General Data Protection Regulation (GDPR) in AI applications within government agencies
  • Addressing liability issues associated with AI systems for government use

Ethical and Societal Aspects for Government

  • Mitigating bias and discrimination in AI algorithms used by government entities
  • Ensuring transparency and traceability of AI decision-making processes for public accountability
  • Corporate responsibility and ethical guidelines for AI usage within government contracts and partnerships

Technical Competence for Government

  • Introduction to data analysis and machine learning techniques relevant to government operations
  • Basic understanding of algorithms and data processing methods used in public sector AI applications
  • Practical use of AI tools and platforms for enhancing government services and efficiency

Risk Management for Government

  • Identification and assessment of risks associated with AI deployment in government settings
  • Measures to minimize errors and prevent misuse of AI systems within public sector organizations
  • Ongoing monitoring and regular review of AI systems to ensure ongoing compliance and effectiveness

Requirements

  • None

Audience

  • Entities that develop, operate, or utilize AI systems or tools for government and other sectors
  • Providers and operators of high-risk AI systems for government and private use
  • Organizations that process personal data for AI-based applications in both public and private contexts
 7 Hours

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