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Debating Automatic Price Adjustment: Divisions And Dialogue Between Employers And Labor Unions

Trade Union Summit Set For September 24

In a continuing debate over Automatic Price Adjustment (ATA), labor unions have arranged a high-profile meeting on September 24 to assess recent developments and recalibrate their strategy. Andreas Matsa, General Secretary of SEK, emphasized that the gathering may well pave the way for new decisions, potentially escalating or intensifying countermeasures. Notably, the unions have not yet received an invitation from the Minister of Labor to extend the dialogue following the previous summit, leaving the trajectory of negotiations uncertain.

Coordinated Initiatives Among Employers

On the employers’ side, executive committees from the Employers Association (OEB) and the Confederation of Employers (KEBE) have planned a joint meeting for October 2. Michalis Antoniou, Director General of OEB, underscored that the primary objective is to streamline coordination and reach decisive conclusions on pivotal issues, particularly the ATA. The discussions will also extend to topics such as tax policies and pension reform, reflecting the industry’s broader concerns.

Strategic Outlook And Emerging Challenges

Antoniou firmly dismissed the notion of a one-size-fits-all ATA approach, reiterating that the position of employers remains consistently opposed due to the adverse impact on competitiveness. However, he noted a willingness to converge with labor unions and the government through constructive dialogue. His remarks indicated that the employers have been evaluating various adjustment scenarios that link the ATA to factors like competitiveness, inflation, and household expense indices. While positions remain divergent, he expressed cautious optimism that a consensus might be reached once specific measures are clearly defined.

The unfolding discussions underscore a pivotal moment for both labor and employer associations, as both sides navigate economic challenges and seek common ground amid broader policy reforms.

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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