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AI and Antitrust: Could Google’s Search Monopoly Face a New Challenge?

The antitrust trial against Alphabet’s Google has commenced, highlighting significant concerns about its potential to leverage two-faced intelligence to maintain its stronghold over online search. Initiated by the U.S. Department of Justice, the case could redefine how we interact with the internet, reminiscent of past landmark judgments against corporate giants like AT&T and Standard Oil.

David Dahlquist, representing the DOJ, expressed the necessity for measures to prevent AI from further entrenching Google’s dominance.

Key witnesses from Perplexity AI and OpenAI are set to present firsthand accounts of the challenges posed by Google’s overwhelming market presence. Meanwhile, Google’s defense underscores that imposing remedies may stifle innovation at a critical technological crossroads.

Beyond the immediate issues of search engines, the trial also raises broader questions about future technological advancements and market fairness as digital ecosystems evolve. While the DOJ seeks to dismantle exclusive agreements where Google pays billions for default status on various devices, Google contends that these moves might inadvertently increase technical costs while deterring entrepreneurial growth in allied domains.

In essence, both sides align on a pivotal question: How to balance innovation with fair competition in an AI-driven future?

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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