The Dutch Data Protection Authority (DPA) has fined facial recognition technology company Clearview AI €3.05 million for violating relevant laws by collecting user images without consent. DPA Chairman Aleid Wolfsen pointed out that facial recognition technology is highly invasive, noting that images are collected without users' knowledge. Clearview AI claims that its services do not operate in the Netherlands and the EU, and therefore should not be subject to GDPR. The company's Chief Legal Officer stated that the fine decision is unlawful and unenforceable.

The AI technology developed by Stanford psychologist Mikhail Kosinski can accurately determine IQ, sexual orientation, and political leanings by scanning faces, with accuracy rates of 72%, 91%, and 72%, respectively. This study has sparked ethical controversies and potential misuse, such as discrimination against the LGBTQ+ community. The use of facial recognition technology has already led to privacy breaches and violations of civic liberties, highlighting the importance of protecting privacy rights and civil freedoms. Kosinski's research not only warns of the potential dangers of facial recognition technology but also reveals the negative implications it may bring.

Clearview AI has been accused of violating California privacy laws by allegedly collecting images online without consent and selling them to law enforcement. A Consumer Watchdog report claims that Clearview AI has gathered over 40 billion images, primarily from social media, to sell to public agencies and potentially foreign companies. Investigators have called for the California Attorney General to investigate Clearview AI to understand its data usage and enforce state laws.

The involved gang used artificial intelligence technology to generate videos from facial photos with the intention of falsifying facial recognition authentication for profit. The case involves two operations: 'checking heads' and 'passing faces'. They were sentenced to cancel their internet accounts and pay public compensation. The court mandated educational warnings and public service announcements.

The US FTC has prohibited Rite Aid from using AI facial recognition technology for a period of five years. The FTC alleged that Rite Aid failed to implement reasonable procedures in hundreds of stores and did not prevent harm to consumers. The ban highlights Rite Aid's reckless use of facial surveillance systems, which led to humiliation and other harms to customers. The FTC has made it clear that it will remain vigilant in protecting the public from unfair biometric surveillance and data security practices.

Research indicates that while artificial intelligence excels in static images, there are significant disparities in handling dynamic facial expressions. Deep Convolutional Neural Networks (DCNNs) are relatively inadequate for dynamic expression processing. It is recommended that AI developers construct algorithms based on real-life stimuli to more accurately simulate the human brain's processing of dynamic facial expressions.

Biologists at the University of Vienna have developed a goose facial recognition tool using AI, achieving an accuracy rate of 97%. The tool collects facial images of geese and focuses on beak features to accomplish facial recognition. Research shows that geese can recognize photos of their companions and friends, and facial recognition is key to their social interactions. Similar tools have been developed to identify individual harbor seals, providing a stress-free and simple method for animals. Facial recognition technology will be applied in areas such as biodiversity conservation, enhancing research efficiency.

PimEyes prohibits searching for minors' faces to ensure child safety. The age detection AI system has recognition issues. The protective mechanism was long planned, with full deployment triggered by media reports. PimEyes has banned over 200 accounts for violations. The issue of facial recognition engine abuse has sparked discussions on regulation and privacy rights.

😡 Frequent store thefts: The article mentions that the shop owner lost £7,000 in a year and employees faced abuse. 📷 Installing facial recognition surveillance: The owner has installed a facial recognition system that can identify individuals with previous theft records. 🔒 Enhanced preventive measures: The new surveillance system allows the owner to identify potential thieves in advance.