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Why ‘open’ AI systems are actually closed, and why this matters

Dec 01, 2024 - nature.com
The article discusses the concept of 'open' artificial intelligence (AI), arguing that the principles of open-source software are being misapplied to AI systems. It suggests that while open AI can provide transparency, reusability, and extensibility, claims about its benefits often lack precision and overlook the significant industry concentration in large-scale AI development. The article also highlights that the rhetoric of open AI is being used to shape policy in the US and EU, often serving the regulatory and market aims of AI companies.

The article further explores the definition of AI and the concept of 'openness' in this context, arguing that it is often muddled and unclear. It also examines the components of AI systems, the ecosystem around open AI, and the dominance of corporate actors in the AI landscape. The article concludes by suggesting that the rhetoric of openness is often used in ways that exacerbate the concentration of power in the AI sector, rather than alleviating it.

Key takeaways:

  • The article discusses the concept of 'open' artificial intelligence (AI), arguing that concepts from open-source software are being applied inappropriately to AI systems.
  • Open AI systems can offer transparency, reusability and extensibility, but the rhetoric of openness is often used in ways that exacerbate the concentration of power in the AI sector.
  • The definition of AI itself is contested and unclear, further complicating the question of what ‘open’ means in the context of AI.
  • The article argues that the resources required to produce large-scale AI systems are concentrated in the hands of a few large tech companies, which not only shape what gets built but also the conditions under which AI systems can be built.
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