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Transparency

Requiring AI developers to publish model architectures, data sources, generated data and decision-making rationales.

Addresses / Mitigates

  • Loss Of Diversity: Increases accountability but does not prevent monopolisation directly.
  • Social Manipulation: Require accountability and auditing mechanisms for social media platforms.

Of Models, Data, Architecture

  • Requiring AI developers to publish model architectures, data sources, and decision-making rationales.

  • Transparency regulations are becoming more common but face resistance from corporate interests.

Of Generated Content

  • Increases accountability but does not prevent monopolisation directly.

  • Mandate clear labeling of AI-generated content.

  • Require accountability and auditing mechanisms for social media platforms.

– Requires infrastructure for labelling, auditing, and enforcement, but could be mandated by legislation.

– Transparency can deter some manipulative actors, but determined bad actors may still evade or exploit labelling.

Examples