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Apple Unveils Redesigned Blood Oxygen Feature Amid ITC Ruling

Apple Advances Health Tech Innovation

Apple has announced a significant update to its Apple Watch blood oxygen monitoring capability. The tech giant is introducing a redesigned feature for select models—including Series 8, Series 10, and Apple Watch Ultra—overcoming previous import restrictions enforced by the International Trade Commission (ITC).

Regulatory Adaptation and Feature Redesign

Under a recent U.S. Customs ruling, Apple is now authorized to import these devices with the modified blood oxygen feature, a move that circumvents the ITC ban established in early 2024. The revised functionality shifts blood oxygen data processing to the paired iPhone, with results accessible through the Respiratory section of the Health app. As a consequence, users will need to consult their iPhone to review their health metrics, as direct watch-based access is no longer available.

Legal Context and Ongoing Disputes

This development follows a contentious legal battle with medical device maker Masimo. In 2023, Masimo secured a victory at the ITC, which led to the removal of the original blood oxygen monitoring feature from Apple Watches due to alleged patent infringement. Apple has since counter-sued, alleging that Masimo replicated features from its smartwatch. The recent update, enabled by a Customs ruling, only applies to devices sold post-ban, while earlier purchases or units sold outside the U.S. remain unaffected.

Implications for the Industry

Apple’s move not only underscores its commitment to innovation within regulatory constraints but also signals a strategic response to competitive and legal pressures. By recalibrating its product capabilities, Apple reaffirms its position as a technological leader capable of navigating complex international trade and intellectual property challenges.

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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