Course Outline

Introduction to Ethics in AI for Government

  • Understanding the importance of ethics in AI deployment within government contexts
  • Historical context and current ethical debates relevant to public sector operations
  • Key ethical principles for responsible AI implementation in government

Ethical Challenges with LLMs for Government

  • Privacy concerns and data protection in government applications
  • Transparency, accountability, and bias mitigation in LLMs used by public sector entities
  • Impact of LLMs on employment and societal well-being within the public domain

Applying Ethical Frameworks to LLMs for Government

  • Frameworks for ethical decision-making in AI specific to government use cases
  • Case studies: Ethical dilemmas in LLM deployment within public sector organizations
  • Developing guidelines for ethical LLM use tailored for government operations

Strategies for Ethical LLM Deployment for Government

  • Best practices for responsible AI development and implementation in the public sector
  • Engaging with stakeholders and diverse perspectives to ensure inclusive governance
  • Creating a culture of ethical AI within government organizations

Hands-on Lab: Ethical Analysis of LLM Use Cases for Government

  • Analyzing real-world scenarios involving LLMs in public sector applications
  • Assessing ethical implications and formulating appropriate responses
  • Presenting findings and recommendations to inform policy and practice

Summary and Next Steps for Government

Requirements

  • A foundational understanding of artificial intelligence (AI) and machine learning concepts for government
  • Experience with ethical decision-making frameworks
  • Familiarity with large language models (LLMs) and their societal implications

Audience

  • AI professionals and ethicists
  • Data scientists and engineers
  • Policy makers and stakeholders in AI governance for government
 7 Hours

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