Self-regulation

Responsible AI Practices

Esther Montoya van Egerschot

Chief AI Governance @ DigiDiplomacy

AI self-regulation categories

Effective self-regulation:

  • Clear criteria
  • Broad industry involvement
  • Proactive oversight
  • Robust enforcement
  • Dispute resolution mechanisms
  • Transparency
  • Adaptability to market and consumer needs
  • Independence

 

In action:

  • Codes of conduct
  • Ethical guidelines and principles
  • Self-assessment and reporting
  • Public engagement and stakeholder consultation
  • Industry partnerships and collaborations
  • Innovation in governance models
  • AI Ethics advisory councils
Responsible AI Practices

ESG standards in AI

The integration of Environmental, Social, and Governance (ESG) standards into AI practices is gaining traction.

 

Examples:

  • BCorp's ESG standards
  • Corporate Sustainability Reporting Directive (CSRD)

Overview of the 17 SGD's as published by the UN

Responsible AI Practices

Trends and opportunities in self-regulation

 

  • Learning from another
  • Ethical development
  • Codes and labels
  • Strengthen stakeholder relationships
  • Reinforce human oversight
  • Reputational tool

 

Self-regulation is an ongoing process.

 

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Responsible AI Practices

Let's practice!

Responsible AI Practices

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