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Guy Huntington Guy Huntington

Guy Huntington

Trailblazing Human and Entity Identity & Learning Visionary - Created a new legal identity architecture for humans/ AI systems/bots and leveraged this to create a new learning architecture

发布日期: 2020年6月24日
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December 27, 2023 update - I strongly suggest readers skim “How Do I Trust Entities??? Different Levels of Identity & Credential Assurance - A Thought Paper"

June 13, 2023 update - I strongly suggest readers skim these recent articles:

The idiom of putting one's head in the sand "comes from the incorrect belief that ostriches (a large bird with a long neck and large body) put their heads in the sand to hide from danger because they thought that if they couldn't see their attacker, their attacker couldn't see them either.

It's a ridiculous idea and not true but we humans are also very dumb at times—especially when we try to pretend there isn't a problem when there is one." - Oyster English

That's the point of this post. A revolution is upon us and we need to change our identity, consent and privacy legal framework planet wide.

Example - Driverless Cars

Yesterday in Guangzhou, China was the re-launch, post first wave pandemic, of WeRide Robotaxi operations.?They have a fleet of over 100 driverless cars, covering an area of 144?square kilometers, with over 200 drop off points.

Now go back in time to 2007's Marshall Brain's Singularity Summit presentation. Fast forward to the 9:00 minute mark and listen. He's talking about, in the US alone, of the elimination of over 3 million transportation jobs due to automation. Over the next 10-ish years, this will now begin to occur.

Example - Digital Medical Twins

Siemen has developed a digital twin for your heart, as has Philips, while HP and Ecole Polytechnique Fédérale de Lausannes (EPFL) have created a digital model for a mouse brain. This is only the early days of a revolution. Who owns the digital twin data and model? What happens to your digital medical twin when you die?

Example - Bots and Groceries

In this December post about the above, I ask the dumb questions:

  • How are we going to identify all these different types of bots, both unregistered and legally registered?
  • What type of new jurisdictional laws do we require to manage this?
  • What happens when physical bots are able, on their own, to move across multiple physical jurisdictions?
  • What happens when virtual bots can control physical bots?
  • What if this occurs across multiple jurisdictions?

Example - Virtual Selves

In 2018 Oben, a developer of Personal Artificial Intelligence, created digital clones of the Chinese pop group SNH48. They used photographs and voice recordings, with each singer required to read 100 to 200 sentences which were used as sample data for the AI algorithm. The result was a digital avatar that could sing like each group member and even speak multiple languages in their own voices.

This too is only the early days of a revolution. How does one know if the virtual self they're dealing with is who they claim to be?

Example - AI Running Companies, Inventing Products, Writing Like Us, and Talking to 660 Million People

In this thought paper, I reference:

The thought paper raises all sorts of questions about legal digital identities tied to legal human physical identities, as well as a completely rethought AI/Bot legal identification system.

The Tech Change Tsunami Is Upon Us

Skim this recent article to see an update on how the tech wave, depicted by this curve, is fully upon us:

DUH! Massive Change is Upon Us

Around us massive change is occurring. We eagerly consume new products/services, as referenced above, without understanding the impact on our lives, our jobs, our identities, and our future. It requires a complete rethink in both human and AI system/bot legal identities, data and consent. We can no longer keep our head in the proverbial sand.

About Guy Huntington

I'm an identity trailblazing problem solver. My past clients include Boeing, Capital One and the Government of Alberta's Digital Citizen Identity & Authentication project. Many of my past projects were leading edge at the time in the identity/security space. I've spent the last eight years working my way through creating a new legal identity architecture and leveraging this to then rethink learning.

I've also done a lot in education as a volunteer over my lifetime.?This included chairing my school district's technology committee in the 90's - which resulted in wiring most of the schools with optic fiber, behind building a technology leveraged school, and past president of Skills Canada BC and Skills Canada.

I do short term consulting for Boards, C-suites and Governments, assisting them in readying themselves for the arrival of AI systems, bots and AI leveraged, smart digital identities of humans.

I've written LOTS about the change coming. Skim the?over 100 LinkedIn articles?I've written,?or my webpage?with lots of papers.

Quotes I REALLY LIKE!!!!!!:

  • We cannot solve our problems with the same thinking we used when we created them” – Albert Einstein
  • “Change is hard at first, messy in the middle and gorgeous at the end.” – Robin Sharma
  • “Change is the law of life. And those who look only to the past or present are certain to miss the future” – John F. Kennedy

Reference Links:

An Identity Day in The Life:

My Message To Government & Industry Leaders:

National Security:

Rethinking Legal Identity, Credentials & Learning:

Learning Vision:

Creativity:

AI Agents:

Architecture:

AI/Human Legal Identity/Learning Cost References

AI Leveraged, Smart Digital Identities of Humans:

CISO's:

领英推荐

Companies, C-Suites and Boards:

Legal Identity & TODA:

Enterprise Articles:

Rethinking Enterprise Architecture In The Age of AI:

LLC's & AI:

Challenges With AI:

New Security Model:

DAO:

Kids:

Sex:

Schools:

Biometrics:

Legal Identity:

Identity, Death, Laws & Processes:

Open Source:

Notaries:

Climate Change, Migration & Legal Identity:

"Human Migration, Physical and Digital Legal Identity - A Thought Paper”

Fraud/Crime:

Behavioral Marketing:

AI Systems and Bots:

Contract Law:

Insurance:

Health:

AI/AR/VR Metaverse Type Environments:

SOLICT:

EMP/HEMP Data Centre Protection:

Climate:

A 100,000-Foot Level Summary Of Legal Human Identity

  • Each person when they’re born has their legal identity data plus their forensic biometrics (fingerprints, and later when they can keep their eyes open – their iris) entered into a new age CRVS system (Civil Registration Vital Statistics - birth, name/gender change, marriage/divorce and death registry) with data standards
  • The CRVS writes to an external database, per single person, the identity data plus their forensic biometrics called a SOLICT “Source of Legal Identity & Credential Truth).?The person now controls this
  • As well, the CRVS also writes to the SOLICT legal identity relationships e.g. child/parent, cryptographically linking the SOLICTs.?So Jane Doe and her son John will have cryptographic digitally signed links showing their parent/child.?The same methodology can be used for power of attorney/person, executor of estate/deceased, etc.
  • The SOLICT in turn then pushes out the information to four different types of LSSI Devices “Legal Self-Sovereign Identity”; physical ID card, digital legal identity app, biometrically tied physical wristband containing identity information or a chip inserted into each person
  • The person is now able, with their consent, to release legal identity information about themselves.?This ranges from being able to legally, anonymously prove they’re a human (and not a bot), above or below age of consent, Covid vaccinated, etc.?It also means they can, at their discretion, release portions of their identity like gender, first name, legal name, address, etc.
  • NOTE: All consents granted by the person are stored in their SOLICT
  • Consent management for each person will be managed by their PIAM “Personal Identity Access Management) system.?This is AI leveraged, allowing the person, at their discretion, to automatically create consent legal agreements on the fly
  • It works both locally and globally, physically and digitally anywhere on the planet
  • AI systems/bots are also registered, where risk requires it, in the new age CRVS system
  • Governance and continual threat assessment, is done by a new, global, independent, non-profit funded by a very small charge per CRVS event to a jurisdiction to a maximum yearly amount.

A 100,000-Foot Level Summary Of The Learning Vision:

  • When the learner is a toddler, with their parents’ consent, they’ll be assessed by a physical bot for their learning abilities.?This will include sight, sound, hearing and smell, as well as hand-eye coordination, how they work or don’t work with others, learning abilities, all leveraging biometric and behavioral data
  • All consents given on behalf of the learner or, later in the learner’s life by the learner themselves, are stored in the learner’s SOLICT “Source of Legal Identity & Credential Truth”
  • This is fed into a DLT “Digital Learning Twin”, which is created and legally bound to the learner
  • The DLT the produces its first IEP “Individualized Education Plan”, for the learner
  • The parents take home with them a learning assistant bot to assist the learner, each day, in learning.?The bot updates the DLT, which in turn continually refines the learner’s IEP
  • All learning data from the learner is stored in their LDV “Learner Data Vault”
  • When the learner’s first day of school comes, the parents prove the learner and their identities and legal relationship with the learner, via their LSSI devices (Legal Self-Sovereign Identity)
  • With their consent, they approve how the learner’s identity information will be used not only within the school, but also in AI/AR/VR learning environments
  • As well, the parents give their consent for the learner’s DLT, IEP and learning assistant bot to be used, via their PIAM (Personal Identity Access Management) and the learner’s PIAM
  • The schools LMS “Learning Management System” instantly takes the legal consent agreements, plus the learner’s identity and learning information, and integrates this with the school’s learning systems
  • From the first day, each learner is delivered a customized learning program, continually updated by both human and AI system/bot learning specialists, as well as sensors, learning assessments, etc.
  • All learner data collected in the school, is stored in the learner’s LDV
  • If the learner enters any AI/AR/VR type learning environment, consent agreements are created instantly on the fly with the learner, school, school districts, learning specialists, etc.?
  • These specify how the learner will be identified, learning data use, storage, deletion, etc.
  • When the learner acquires learning credentials, these are digitally signed by the authoritative learning authority, and written to the learner’s SOLICT.
  • The SOLICT in turn pushes these out to the learner’s LSSI devices
  • The learner is now in control of their learning credentials
  • When the learner graduates, they’ll be able, with their consent, to offer use of their DLT, IEP and LDV to employers, post-secondary, etc.?This significantly reduces time and costs to train or help the learner learn
  • The learner continually leverages their DLT/IEP/LDV until their die i.e., it’s a lifelong learning system
  • IT’S TRANSFORMATIONAL OVER TIME, NOT OVERNIGHT


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