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Area of Science:

  • Digital Ethics
  • Artificial Intelligence Safety
  • Social Media Governance

Background:

  • Generative artificial intelligence (AI) enables the creation of highly convincing fabricated content.
  • The proliferation of synthetic misinformation, political propaganda, and non-consensual deepfakes poses a significant threat to the public sphere.
  • Malicious applications of generative AI technologies are expected to increase.

Purpose of the Study:

  • To evaluate the appropriate policy response for social media platforms to the threat of generative AI-generated content.
  • To determine if new, specific policies are required for synthetic media or if existing rules suffice.

Main Methods:

  • Analysis of the nature of threats posed by AI-generated content.
  • Comparison of AI-generated content threats with existing categories of harmful online content.
  • Argumentation based on the principle that the type of harm, not the origin of content, dictates the response.

Main Results:

  • The threat posed by AI-generated content is fundamentally similar in kind to that of ordinary harmful content.
  • Generative AI amplifies existing problems rather than introducing entirely new categories of harm.
  • Existing platform rules, when properly enforced, are adequate to address the challenges.

Conclusions:

  • Social media platforms should not develop novel policies specifically for synthetic content.
  • The most effective strategy is to strengthen the enforcement of current, general platform rules.
  • Consistent application of existing policies, irrespective of content origin (human or machine), is recommended.