Google Introduces Enhanced Privacy And Explicit Content Removal Controls

by THEFUTURE.TEAM

February 11, 2026

Empowering Users With Advanced Privacy Controls

In a significant move on Safer Internet Day, Google has fortified its privacy framework by extending its “Results About You” tool to offer expanded removal options for personal and sensitive data. This strategic update now enables users to request the removal of Search results containing not only basic identifiers like phone numbers, email addresses, or home addresses, but also government-issued IDs such as driver’s licenses, passports, and Social Security numbers.

Enhanced Personal Data Removal Capabilities

The upgraded tool presents users with an improved interface within the Google app. By simply tapping on the account photo and selecting “Results About You,” both new and existing users can register their personal contact information alongside key government identifiers. Once configured, Google will automatically monitor Search results and notify users if any of their sensitive information emerges online. While removal from Search does not expunge the data from the rest of the web, it marks a critical step toward enhancing user privacy.

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Simplified Requests For Explicit Content Removals

In addition to extending data removal capabilities, Google has streamlined its process for addressing non-consensual explicit images. Users can now remove such images from Search with greater ease by simply clicking the three dots on an image and selecting the removal option marked by the caption “It Shows A Sexual Image Of Me.” This consolidated process allows users to select multiple images for removal in one go and track the status of their requests via the “Results About You” hub. Google’s commitment to proactive filtering further reinforces its stance on safeguarding user privacy by preventing similar explicit results from resurfacing.

Rollout And Future Enhancements

The new updates are currently rolling out in the United States, with plans to extend these privacy measures to additional regions soon. As Google continues to refine its Search and removal tools, these enhancements reflect an ongoing dedication to user security and privacy in an increasingly complex digital landscape.

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Copyright Law Struggles To Keep Up With AI Training

by News Editor

August 24, 2026

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.

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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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