Defining Responsible AI

Responsible AI Practices

Esther Montoya van Egerschot

Chief AI Governance @ DigiDiplomacy

Responsible AI (RAI)

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Responsible AI Practices

AI domains

 

  • Healthcare
  • Education
  • Workforce
  • Finance
  • Transportation
  • Judiciary and law enforcement
  • Geopolitics

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Responsible AI Practices

Why vital?

 

  • Responsibility
  • Accountability
  • Impact on humans
  • Impact on society

 

Benefit society. Do no harm.

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Responsible AI Practices

AI Principles

 

Organisation for Economic Co-operation and Development (OECD)

  • Transparency and explainability
  • Fairness and non-discrimination
  • Robustness and safety
  • Privacy and data governance
  • Accountability
  • Inclusive growth and sustainable development
Responsible AI Practices

Responsible versus ethical

 

AI Ethics

  • Overlap with RAI
  • Broader
  • Philosophical questions
  • Ethical dilemmas
  • Focus on humans and society
  • Moral considerations

 

RAI

  • Overlap with ethics
  • Focus on implementing ethical considerations
  • Putting theory into action
  • Reliance on metrics and frameworks
Responsible AI Practices

Summary

 

  • Responsible AI is not just a technical requirement
  • AI needs to advance human values and societal well-being
  • AI needs to work for everyone
  • Respecting our diversity and humanity
Responsible AI Practices

Let's practice!

Responsible AI Practices

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