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The Nobel Prize in Economics goes to prosperity researchers

Darren Acemoglu, Simon Johnson and James A. Robinson received this year’s Nobel Prize in Economic Sciences for their contributions to proving the importance of public institutions to a country’s prosperity.

KEY FACTS

  • The prestigious prize, officially known as the Sveriges Riksbank Prize for Economic Sciences in Memory of Alfred Nobel, is the last prize awarded this year and is worth SEK 11 million ($1.1 million).
  • This year’s laureates showed that one of the explanations for differences in countries’ prosperity is the social institutions introduced during European colonization. Inclusive institutions were often introduced in countries that were poor at the time of colonization, which over time led to general prosperity for the population. This is an important reason why former colonies that were once rich are now poor and vice versa.
  • Introducing inclusive institutions would create long-term benefits for everyone, but extractive institutions provide short-term gains for those in power. As long as the political system ensures they retain their control, no one will trust their promises of future economic reforms. According to the laureates, this is the reason why there is no improvement.
  • “Reducing the huge income gaps between countries is one of the greatest challenges of our time. The laureates have demonstrated the importance of public institutions in achieving this,” said Jakob Svensson, Chairman of the Economic Sciences Prize Committee.
  • “Societies with poor rule of law and institutions that exploit the population do not generate growth or change for the better,” the prize’s organizers add on their website.

TANGENT

Darren Acemoglu and Simon Johnson work at MIT, while James Robinson is at the University of Chicago.

Acemoglu and Johnson recently collaborated on a book researching technology through the ages that demonstrates how some technological advances are better at creating jobs and spreading wealth than others.

KEY STORY

The Economics Prize is not one of the original science, literature and peace prizes created by the will of dynamite inventor and businessman Alfred Nobel and first awarded in 1901, but is a later additional prize established and funded by the Central Bank of Sweden in 1968.

Past recipients of the award include a number of influential thinkers such as Milton Friedman, and John Nash – played by actor Russell Crowe in the 2001 film A Beautiful Mind, and former US Federal Reserve Chairman Ben Bernanke.

Last year, Harvard economic historian Claudia Goldin won a prize for her work highlighting the causes of pay and labor market inequality between men and women.

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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