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Mapping Ethical Artificial Intelligence Policy Landscape: A Mixed Method Analysis.

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Governments worldwide are creating ethical artificial intelligence (AI) policies. This study analyzed 57 documents from 24 countries, identifying six key themes and 31 emerging AI ethical dilemmas for policymakers.

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Area of Science:

  • Technology Policy
  • Artificial Intelligence Ethics
  • Comparative Policy Analysis

Background:

  • Increasing global adoption of national policies on artificial intelligence (AI) ethics.
  • Need for comparative analysis to understand emerging concerns and priorities in AI governance.
  • Limited scholarly work comparing ethical AI policy frameworks across nations.

Purpose of the Study:

  • To identify common themes in ethical AI policies from diverse countries.
  • To comparatively analyze governmental priorities in AI ethics.
  • To uncover previously overlooked ethical dilemmas in AI policy.

Main Methods:

  • Analysis of 57 ethical AI policy documents from 24 countries.
  • Application of computational text mining and qualitative content analysis.
  • Iterative coding to identify overarching themes and specific dilemmas.

Main Results:

  • Identification of six major themes: principles, data protection, governmental roles, procedural guidelines, governance/monitoring, and epistemological considerations.
  • Discovery of 31 emerging ethical dilemmas in AI, with varying levels of attention in policy documents.
  • Comparative insights into how different nations prioritize ethical AI issues.

Conclusions:

  • The study provides a scholarly contribution to national technology policy formulation.
  • Offers practical insights for policymakers on prevailing trends and neglected areas in AI ethics.
  • Highlights the importance of a comparative approach to understanding global AI policy landscapes.