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How Traceability Could Solve AI's Copyright Concerns

Feb 05, 2024 - forbes.com
The article discusses the importance of traceability in AI, using the example of the New York Times' lawsuit against OpenAI for using their content in the training of its large language model (LLM) and allowing ChatGPT users to access content behind their paywalls. The author argues that without traceability, it's impossible to know where AI tools get their information from, making it difficult to credit or pay contributors, or to trust the information provided by AI. The lack of traceability also allows Big Tech to act as a gatekeeper, profiting from creators' work without adequately compensating them.

The author suggests that a solution could be to adopt a model similar to Spotify, which tracks when a song is listened to and pays the artist per listen. This could be applied to AI and the web through the use of blockchain technology, allowing for a direct exchange between creator and consumer and cutting out the middleman. This would create a more transparent, responsible digital world that directly connects users with the experiences, products, and relationships they want.

Key takeaways:

  • The lack of traceability in AI is problematic, as it makes it difficult to know where AI tools get their information, making it impossible to credit or pay contributors and determine the reliability of the AI's information.
  • Without traceability, AI could become another internet mechanism that functions poorly for users and creators, with Big Tech acting as a gatekeeper that profits from the lack of transparency.
  • Traceability could create a better user experience and shield against liability, as it would allow creators to be paid directly for the consumption of their content, similar to the model used by Spotify.
  • Adopting a model of traceability could potentially cut Big Tech out of the connection game, allowing for a more direct exchange between creators and consumers and keeping ad dollars in creators' pockets.
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