AI Ethics Alert: Hidden Face ID, Deepfakes & New Security Moves

AI Ethics Alert: Hidden Face ID, Deepfakes & New Security Moves

The digital world never stands still, and this week has been a whirlwind of developments spanning AI ethics, national security, and intriguing technological mysteries. From dormant face recognition software on millions of phones to groundbreaking discoveries about GPS signals, the headlines paint a vivid picture of innovation and its complex consequences. Let’s dive into some of the most compelling stories that shaped our understanding of technology and privacy.

Tech Giants and Troubling AI Ethics

Meta, it turns out, has been quietly storing dormant face recognition code on over 50 million phones, tucked away in the companion app for its Ray-Ban and Oakley smart glasses. This feature, known internally as NameTag, would allow wearers to identify people by matching faces against a biometric gallery on their device. The revelation is particularly striking because Meta famously announced it was stepping away from this technology in 2021 after settling costly biometric privacy lawsuits.

In another concerning development, xAI is currently engaged in a legal battle, asking a federal judge to compel plaintiffs suing over Grok-generated deepfake nudes to reveal their real names. These plaintiffs, including one who alleges the chatbot fabricated sexual images of her as a child, fear harassment and doxing from online supporters of Elon Musk. Despite xAI’s lawyers claiming “nothing inherently stigmatizing” about the deepfakes remaining under seal, the plaintiffs have indicated they would rather drop the suit than expose themselves to potential public backlash.

Google has also stepped into the fray, introducing a new Android feature designed to combat the rise of AI-powered impersonation scams. Rolling out with Google Dialer to phones running Android 12 or later, this tool pings the caller’s device for a silent cryptographic handshake. If the call is fake, Android will flag it and strip the contact photo from the screen, offering a much-needed layer of protection against sophisticated fraudsters.

However, there’s a catch: this innovative security measure only works if both parties are using Google Dialer, leaving iPhone users vulnerable to these evolving threats. The rise of AI has also presented new challenges for account security, as highlighted by recent exploits targeting Meta’s automated support system. Hackers were able to exploit AI-driven password reset functions to take over high-profile accounts, including those of President Barack Obama, the chief master sergeant of the US Space Force, and makeup retailer Sephora.

While Meta quickly fixed the issue and secured affected accounts, this incident underscores the inherent risks of offloading critical security functions to AI, especially for companies as deeply invested in the technology as Meta. Furthermore, the collaboration between AI firm Anthropic and the US National Security Agency (NSA) has raised eyebrows concerning the ethical implications of powerful AI tools. Anthropic’s Mythos AI, capable of rapidly discovering hackable software vulnerabilities, was initially thought to be used by the NSA for defensive purposes.

However, recent reports from the Financial Times reveal a more complex picture, with Anthropic engineers reportedly deployed to the NSA to help them utilize Mythos, including for **offensive hacking operations**. While it remains unconfirmed if Mythos is currently being used in active cyberattacks, the growing trend of state-sponsored AI hacking suggests that the US is likely exploring these advanced capabilities.

Security Threats and Surveillance Shifts

New cybersecurity threats continue to emerge, with researchers detailing a clever browser side-channel attack named FROST. This sophisticated attack can fingerprint other open tabs and even identify applications on your device by meticulously measuring the time it takes to read from a sandboxed file on your SSD. Operating entirely within JavaScript, FROST feeds these timing traces into a neural network trained on the I/O signatures of common software, although there’s no evidence of it being used in the wild yet.

On the political front, the Manhattan Institute, a right-wing think tank known for its influence on “broken-windows” policing and anti-DEI policies, is now promoting model legislation to reclassify minor protest-related offenses as felonies. This controversial initiative is based on a novel theory they term “civil terrorism,” potentially leading to harsher penalties for activists and protestors across the nation. Adding to the week’s notable political appointments, **Donald Trump has selected Bill Pulte** to serve as the acting Director of National Intelligence (DNI), following Tulsi Gabbard’s resignation.

Pulte will simultaneously retain his role as Director of the Federal Housing Finance Agency (FHFA), where he has been actively involved in issuing criminal referrals against Trump’s political adversaries, including New York Attorney General Letitia James and Senator Adam Schiff. This dual role, combined with Pulte’s controversial actions at the FHFA, has sparked bipartisan concern among senators, particularly as Congress debates the crucial renewal of the sweeping surveillance program known as Section 702.

Meanwhile, a long-standing mystery surrounding GPS satellites appears to have been solved by University College London professor Steven Murdoch. For years, GPS satellites have broadcast enigmatic data within a little-used portion of their public signal, their purpose unknown to the general public. After analyzing millions of archived GPS transmissions spanning nearly two decades, Murdoch concluded that these messages are likely a critical part of the **US military’s system for distributing cryptographic keys** to military GPS receivers worldwide.

His research, which borrowed techniques from signals intelligence, highlighted a significant event in May 2011 when nearly all operational GPS satellites abruptly synchronized to a new message pattern. This coincided with the rollout of Over-the-Air Distribution (OTAD), a military system enabling remote updates of cryptographic keys. Murdoch stressed that he didn’t crack any military encryption, but rather, his work demonstrates the wealth of information that can be gleaned by meticulously studying the public behavior of complex systems.

The Unregulated World of Digital Commerce

Beyond traditional tech, the gray market for peptides—chains of amino acids promising everything from weight loss to skin rejuvenation—has become a largely unregulated pharmaceutical subindustry. This burgeoning market is increasingly fueled by cryptocurrency, with funds often sent directly to Chinese labs manufacturing these substances. Crypto-tracing firm Chainalysis recently unveiled an analysis showing that crypto flows to peptide sellers now exceed **$100 million annually and are growing rapidly**.

Intriguingly, Chainalysis found that some of these Chinese labs previously involved in selling fentanyl precursors have now shifted their focus to peptide manufacturing. This transition is believed to capitalize on the “looksmaxing” social media trend, which has boosted peptide sales, and to sidestep potential law enforcement crackdowns on opioid manufacturers. The lack of regulation in this space, coupled with the ease of crypto transactions, creates a complex landscape for consumers and authorities alike.

Source: Wired – AI

Kristine Vior

Kristine Vior

With a deep passion for the intersection of technology and digital media, Kristine leads the editorial vision of HubNextera News. Her expertise lies in deciphering technical roadmaps and translating them into comprehensive news reports for a global audience. Every article is reviewed by Kristine to ensure it meets our standards for original perspective and technical depth.

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