Any really large amount of communication could provide the same ‘benefits.’ Gathering data used to be a problem, today extracting information from the data is the challenge.

https://www.csoonline.com/article/3670110/3-ways-chinas-access-to-tiktok-data-is-a-security-risk.html#tk.rss_all

3 ways China's access to TikTok data is a security risk

… "Politics and business in China are inseparable," said Joseph Williams, partner, cybersecurity, at Infosys Consulting. He argues that "the Chinese government could focus on specific users, specific keywords, or specific video sequences to identify whatever they might find interesting."

Theoretically, TikTok could collect all kinds of data, including text, images, videos, location, metadata, draft messages, fingerprints, or browsing history. The platform, which has grown rapidly in the past few years, exceeds 1 billion monthly active users globally, 100 million of which were based in the U.S. According to a Pew Research Center survey, 67% of American teens have installed this app more than Instagram, Snapchat, Facebook or Twitter.

Will we see “rebuttal” emails? More importantly, what can I charge for a “block ‘em all” App?

https://www.pogowasright.org/us-approves-google-plan-to-let-political-emails-bypass-gmail-spam-filter/

US approves Google plan to let political emails bypass Gmail spam filter

Jon Brodkin reports:

The US Federal Election Commission approved a Google plan on Thursday to let campaign emails bypass Gmail spam filters. The FEC’s advisory opinion adopted in a 4-1 vote said Gmail’s pilot program is permissible under the Federal Election Campaign Act and FEC regulations “and would not result in the making of a prohibited in-kind contribution.”

The FEC said Google’s approved plan is for “a pilot program to test new Gmail design features at no cost on a nonpartisan basis to authorized candidate committees, political party committees, and leadership PACs.”

Read more at Ars Technica.

While you are in our custody, please pose like a crook for our AI. (Make the evidence fit!)

https://www.biometricupdate.com/202208/move-a-little-to-your-left-turn-your-head-perfect-recreating-crimes-with-face-biometrics

Move a little to your left. Turn your head. Perfect! Recreating crimes with face biometrics

What happens if facial recognition surveillance cameras only capture a crime suspect from a too-oblique angle to make a confident identification?

In India, the police can have the subject recreate the pose of the person they are looking for and compare the two pieces of evidence using face biometric systems.

Early reports, including an article published by The Indian Express, leave a number of questions unanswered – not least of which is, were suspect compelled to pose? But what is known indicates a novel chapter in the evolution of biometric identification and surveillance may have arrived.

… India’s law enforcement officials have grown more accepting of facial recognition as an investigative tool, with help from legislators. The Criminal Procedure Act, passed this year, gives officers the authority to collect fingerprints, palm prints and footprints, iris and retina and behavioral and DNA biometrics as well as analysis of other physical features, signature and handwriting for purposes of criminal investigation.

(Related) Capabilities?

https://www.marktechpost.com/2022/08/10/researchers-propose-a-deep-learning-based-face-recognition-technology-with-an-accuracy-of-99-95-for-facial-recognition-even-for-a-person-wearing-a-niqab/

Researchers Propose a Deep Learning-Based Face Recognition Technology with an Accuracy of 99.95% for Facial Recognition Even for a Person Wearing a Niqab

… Face-recognition technology is quickly developing and used in various fields, including marketing, education, criminal investigation, security, and biometrics. Now, in addition to being able to identify the individual, it can also determine their facial expression. The limits of facial recognition software when a person’s face is partially hidden, as can happen when wearing a veil or protective face mask, are the subject of research published in the International Journal of Biometrics.

Full-face biometric identification has been the subject of a substantial amount of research. However, employing faces that are only partially visible, like veiled people, is difficult. In this study, the deep convolutional neural network (CNN) is used to extract characteristics from photographs of veiled people’s faces.

The researchers claim that their deep-learning technique for facial recognition is 99.95% correct, even when a person is wearing a niqab, which mostly hides the face except for the eyes. Age estimation and gender recognition by the algorithms are both 99.9% correct. Examining the eyes can identify a veiled person or wearing a COVID mask as happy or frowning with an accuracy of 80.9%.

Perspective.

https://www.escapistmagazine.com/robot-ai-inventor-us-court-patent-law-machine-uprising/

Oops, We Just Took Our First Real Step Toward the Machine Uprising