Saturday, January 10, 2026

Towards a Framework for AI Attribution: A Comprehensive Proposal

In today’s AI-driven world, collaboration between humans and machines is redefining how we create. The process often follows a Human → AI → Human loop, leading to a vital question: how do we credit both parties? Current labeling options fall short, lacking clarity and accountability.

Key Insights:

  • Human + AI Contribution: Effective outcomes demand both human intent and AI capabilities.
  • The Attribution Dilemma: Labels like “AI-generated” ignore content curation while sole human credit misrepresents involvement.
  • Introducing “Et Ai.”: This proposed shorthand acknowledges AI contributions, preserving the human role in authorship and emphasizing accountability.

Implementation:

  • Use “Et ai.” when AI plays a substantial role in production.
  • It signals collaboration without overwhelming detail, keeping the author’s integrity intact.

Let’s establish a clear and standardized attribution for our collaborative future in AI! Share your thoughts below and engage with this evolving discussion! 🚀

Source link

Share

Read more

Local News