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China Ranks First In The World In AI Patents

More patents related to generative artificial intelligence have been filed by China every year since 2017 than by the rest of the world, the World Intellectual Property Organization (WIPO) reported to the United Nations in Geneva, DPA reported. Examples include artificial intelligence applications such as ChatGPT or Gemini .

KEY FACTS

  • According to WIPO, Chinese companies and institutes registered over 38,000 patents in the field of generative AI in the 10 years to 2023.
  • Far behind is the US with 6,300, followed by South Korea, Japan and India. Britain is in fifth place with 714, closely followed by Germany with 708, which WIPO says has registered more patents than the UK in recent years.
  • The increase in patent applications worldwide also shows that the sector is booming. According to WIPO, there were a total of 54,000 patent applications in the field of generative AI between 2014 and 2023, but over a quarter of those were filed in the past year alone.

KEY QUOTE

“Generative AI has emerged as a game-changing technology with the potential to transform the way we work, live and play,” said WIPO Director General Darren Tang.

Copyright Law Struggles To Keep Up With AI Training

Courts Are Still Applying Old Copyright Rules To AI

AI companies train models on enormous amounts of published material, including books, articles and academic research. Whether using that content without authors’ permission violates copyright law remains unresolved.

Much of the debate centres on fair use, which allows copyrighted material to be used without permission in certain circumstances. Courts consider factors such as the purpose of the use, how much material was involved and its impact on the original market.

Anthropic Case Sets An Important Precedent

A major case involving Anthropic and a group of authors provided one of the clearest rulings so far. Judge William Alsup found that using copyrighted books to train AI models was lawful, comparing the process to people reading and studying literature before creating something new.

Anthropic was nevertheless ordered to pay $1.5 billion in a settlement. The penalty concerned books the company had obtained from illegal online libraries rather than the AI training itself.

For AI companies, that distinction could prove significant because it separates studying copyrighted material from directly copying it.

Competition Could Be The Key Issue

A case involving Thomson Reuters and Ross Intelligence offers a different perspective. A court ruled that Ross could not claim fair use after using Reuters’ copyrighted material to develop a competing AI-powered legal research platform.

The decision suggests courts may be less willing to consider AI training fair use when copyrighted content is used to build a product that directly competes with the original.

For authors, an unresolved question is whether AI-generated content should be considered competition for the works used to train these models.

The Law Has Yet To Catch Up

US copyright law predates generative AI by decades, leaving courts to apply old principles to new technology. Questions also remain over copyright protection for AI-generated works. In Thaler v. Perlmutter, a court ruled that material created entirely by AI cannot receive copyright protection.

Major AI companies remain involved in copyright litigation, and different courts could reach different conclusions. For now, there is no universal rule: the legality of AI training will depend on the circumstances of each case and how courts ultimately interpret copyright and fair use.

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