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Supreme Constitutional Court Sets Firm Limits On Judicial Intervention In Pension Legislation

Case Overview

The Supreme Constitutional Court has recently rendered a pivotal decision impacting dozens of retired public employees. The court rejected a petition that sought to examine the constitutionality of a specific provision governing state employees’ pensions. At the heart of the dispute was the claim that a widow of a retired public servant should be entitled to a survivor’s pension even though the marriage was solemnized after the husband’s retirement.

Factual Background

The case arose when the General Audit Office denied a pension to a widow on the grounds that her marriage took place after her late spouse, a public servant, had already retired. Specifically, the husband retired on February 1, 1986, and their marriage was celebrated on December 11, 2000; the widow’s claim was further complicated by the fact that her spouse passed away in 2016. The decision to deny the survivor’s pension was based on Article 37(3) of the relevant law, which only recognized marriages contracted before the cessation of the employee’s service for pension purposes.

Judicial Reasoning and Precedents

In its ruling, the Supreme Constitutional Court emphasized that its role is not to effectively legislate by filling gaps in the law. The court drew parallels to an earlier decision in the Dias case, where a restricted license regime was challenged. In Dias, the court maintained that, even when the legislation is silent or ambiguous, its constitutional review should not extend to reconfiguring or supplementing the legislative framework. The court noted that judicial intervention in such cases could transform its constitutional oversight into a tool for legislative modification, which falls outside its defined mandate.

Separation of Powers and Legal Implications

The decision underscores a fundamental principle: the judicial branch must refrain from encroaching on legislative authority. While the petitioners argued that the pension provision violated the principle of equality by applying different criteria to similar cases, the court maintained that determining such legislative matters is beyond its jurisdiction. The ruling further clarified that even if an appeal were intended as a disguised challenge to the appellate court’s decision, it does not satisfy the constitutionally prescribed criteria for constitutional review.

Future Outlook

The Supreme Constitutional Court’s decision, which was also directed to the Court of Appeal on behalf of the Attorney General, reaffirms that the absence of explicit legislative guidance cannot be rectified through judicial decree. This landmark decision serves as a robust reminder of the clear demarcation between judicial review and legislative policymaking, thereby preserving the integrity of constitutional checks and balances in the realm of public pensions and beyond.

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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