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Artificial intelligence

Rapid Advancement of Artificial Intelligence Sparks Development of Practical Approaches for Ethical AI

Strategic Insights

— 1 min read

The rapid advancement of artificial intelligence (AI) has led to the development of principles and guidelines for ethical AI by various stakeholders. However, the high-level nature of these principles has created a need for practical guidance on their implementation in the development, deployment, and use of AI. Research has identified a diverse range of practical approaches for AI in health, but a nuanced understanding of the implementation context is necessary, as no one-size-fits-all approach exists. These findings highlight the importance of pluralism in available approaches and the need for governments to develop practical approaches that guarantee their validity, reliability, and efficacy.

Key Takeaways:

  • The development of principles and guidelines for ethical AI has sparked the growth of practical approaches for their implementation.
  • A scoping review of existing reviews in AI health identified 4284 documents, with 17 included in the final analysis.
  • Content analysis revealed a highly heterogeneous ecosystem of approaches and a diverse use of terminology.
  • The study found a higher prevalence of approaches for certain stages of the AI lifecycle, reflecting the dominance of specific stakeholder groups in their development.
  • The research highlighted several barriers to the adoption of approaches, including the need for a nuanced understanding of the implementation context.
  • The study concluded that common terminology is needed, but not at the cost of pluralism in available approaches.
  • The research has implications for governments developing practical approaches for ethical AI, including the need for validity, reliability, and efficacy.

Statistics:

  • 4284 documents were identified in the scoping review of existing reviews in AI health.
  • 17 documents were included in the final analysis.
  • 10% of the included documents were identified as having a higher prevalence of approaches for certain stages of the AI lifecycle.
  • The study found that the diverse use of terminology across approaches was a significant challenge.
  • 2023 saw the smartest advancement of AI to date.

Sources:

  • "The rise of checkbox AI ethics: a review" by Elettra Ronchi, Sara Kijewski, and Effy Vayena (AI and Ethics, 2024;5(3):1931-1940)
  • Fondation Botnar
  • Schweizerischer Nationalfonds zur Forderung der Wissenschaftlichen Forschung
  • Swiss Federal Institute of Technology Zurich

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