MusicForThePiano
Pelican
I want to make this thread in general as both an educator and to raise awareness for the field of Biometrics and Machine Learning, which is the dominant force behind the industry that desires to basically record, archive, and catalogue every human on this planet. I follow this website here that has daily updates on the innovations as well as the corporate lobbying for these implementations:
https://www.biometricupdate.com/
The number one thing I am noticing as far as legislature goes is that most governments do not currently use (in official capacity) facial recognition biometric systems for verification of random people in crowded cities, but every major corporation that operates outside of this legislative loophole will do so in a heartbeat. Certain police departments, cities, and states all have varying degrees of usage in the United States. There is a lot of flak from black-advocate groups like the ACLU that facial recognition is "racist against blacks" and even democrat senators are calling for it to be banned in some class actions.
https://www.aclu.org/news/privacy-technology/how-is-face-recognition-surveillance-technology-racist/
(note don't click if you don't want to, you can probably surmise what it talks about)
This is an interesting conundrum, because despite the complaints of the useful idiots, this control grid is an inevitability in some way, shape, or form, at least in the major cities and in all known entry/exits to most countries. When the cheap AI (not even real AI) started picking up that blacks are criminally-inclined, the usual bleeding hearts stepped in and called for it to be banned.
https://www.biometricupdate.com/202...n-law-enforcement-face-biometrics-coming-soon
One way I am preparing myself for the technocrat's future when dealing with them (in their cities) is learning of all the different methods and means by which my biological information will be given (or taken) both overtly and covertly, learning about spoofing, and how these systems deal not with a simple pass/fail verification method but is entirely based on statistical thresholds being met before a match is confirmed. This goes for facial recognition, fingerprint recognition, iris recognition, gait recognition, voice recognition, signature recognition, etc. One hot area of concern in this field is the implementation of the various schemes of vaccine (gene therapy) related passports which the industries seek to use to centralize travel and restrict it heavily to the serfs. Once you learn the various strengths and flaws of each system, it is then good to learn about how spoofing methods work for each one. This is not for me to go around spoofing everything, but to be aware of how others could possibly falsify something or frame someone in a criminal manner using this technology (deepfakes for example). Our own specific biological information is very different from our data on our phones and our internet browsing history because it is something that, if compromised or stolen, can be used in much more nefarious ways to make your life miserable than simple credit card information or a social security number.
The first step is looking at your life and understanding what part of you is in a system (look at what companies store what data), then understanding what these systems do not yet have. If you never went to jail or the military there is close to a 100% chance your fingerprints are not in a database. If you have a friend at the DMV then there is a good chance you can get an older photo of you on a current drivers license (facial recognition systems fail more often comparing aged photographs), and if you do all your transactions in person then there is a good chance your signature (or something resembling it) is not in a financial system somewhere.
The next step is learning how to avoid these systems and possibly even spoofing them if you are required to submit to one so that your presentation to the system is not really you and is not able to be stolen or used against you in court. The Machine Learning algorithms are the precursor to a real minority-report situation where, if left alone, corporate entities will attempt to predict events that will include stopping people who they deem a threat to their power structure.
https://liopa.ai/biometric-authenti...uest-article-from-biometric-technology-today/
I am somewhat new to this but have taken a keen interest in it, if anyone else on here is familiar please chime in with advice or interesting information. This is another area where those of us who wish our privacy to be respected must play offense by learning and adapting.
https://www.biometricupdate.com/
The number one thing I am noticing as far as legislature goes is that most governments do not currently use (in official capacity) facial recognition biometric systems for verification of random people in crowded cities, but every major corporation that operates outside of this legislative loophole will do so in a heartbeat. Certain police departments, cities, and states all have varying degrees of usage in the United States. There is a lot of flak from black-advocate groups like the ACLU that facial recognition is "racist against blacks" and even democrat senators are calling for it to be banned in some class actions.
https://www.aclu.org/news/privacy-technology/how-is-face-recognition-surveillance-technology-racist/
(note don't click if you don't want to, you can probably surmise what it talks about)
This is an interesting conundrum, because despite the complaints of the useful idiots, this control grid is an inevitability in some way, shape, or form, at least in the major cities and in all known entry/exits to most countries. When the cheap AI (not even real AI) started picking up that blacks are criminally-inclined, the usual bleeding hearts stepped in and called for it to be banned.
https://www.biometricupdate.com/202...n-law-enforcement-face-biometrics-coming-soon
One way I am preparing myself for the technocrat's future when dealing with them (in their cities) is learning of all the different methods and means by which my biological information will be given (or taken) both overtly and covertly, learning about spoofing, and how these systems deal not with a simple pass/fail verification method but is entirely based on statistical thresholds being met before a match is confirmed. This goes for facial recognition, fingerprint recognition, iris recognition, gait recognition, voice recognition, signature recognition, etc. One hot area of concern in this field is the implementation of the various schemes of vaccine (gene therapy) related passports which the industries seek to use to centralize travel and restrict it heavily to the serfs. Once you learn the various strengths and flaws of each system, it is then good to learn about how spoofing methods work for each one. This is not for me to go around spoofing everything, but to be aware of how others could possibly falsify something or frame someone in a criminal manner using this technology (deepfakes for example). Our own specific biological information is very different from our data on our phones and our internet browsing history because it is something that, if compromised or stolen, can be used in much more nefarious ways to make your life miserable than simple credit card information or a social security number.
The first step is looking at your life and understanding what part of you is in a system (look at what companies store what data), then understanding what these systems do not yet have. If you never went to jail or the military there is close to a 100% chance your fingerprints are not in a database. If you have a friend at the DMV then there is a good chance you can get an older photo of you on a current drivers license (facial recognition systems fail more often comparing aged photographs), and if you do all your transactions in person then there is a good chance your signature (or something resembling it) is not in a financial system somewhere.
The next step is learning how to avoid these systems and possibly even spoofing them if you are required to submit to one so that your presentation to the system is not really you and is not able to be stolen or used against you in court. The Machine Learning algorithms are the precursor to a real minority-report situation where, if left alone, corporate entities will attempt to predict events that will include stopping people who they deem a threat to their power structure.
https://liopa.ai/biometric-authenti...uest-article-from-biometric-technology-today/
I am somewhat new to this but have taken a keen interest in it, if anyone else on here is familiar please chime in with advice or interesting information. This is another area where those of us who wish our privacy to be respected must play offense by learning and adapting.
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