Part VI - The Need for Quickly Creating AI System and Bots Legal Identities
Copyright 123RF

Part VI - The Need for Quickly Creating AI System and Bots Legal Identities

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

Published Dec 31, 2020
+ Follow

December 27, 2023 update - I strongly suggest readers skim “How Do I Trust Entities?   Different Levels of Identity & Credential Assurance - A Thought Paper”

Jun 13, 2023 update - Note to reader: I wrote this series now a little over two year agos Within the articles, I provide updates since the post was written. I strongly suggest readers skim these recent articles on AI, governance, etc.:


This article discusses the need for quickly creating AI System and Bot legal identities, as well as creating enterprise identities for them. If you haven't read Part I - then I strongly advise you to do so, before reading on.

Change is Upon Us

Skim these articles to see a rapidly emerging world leveraging bots, both very small and large:

Then there's the rapidly emerging metaverse to consider

This past year, I created an architecture for AI systems and bots:

Next, I then created a 436 page cost centre document, outlining the many different cost centres for rethinking:

  • Human legal identity
  • AI system/bots legal identities
  • And then leverage this to rethink learning

Then I moved on to guesstimating costs:

There's a Big Political Challenge in Achieving This...

AI systems and virtual bots, can be created at awesome speeds and numbers in one jurisdiction, and in the next instance, be operating in other jurisdictions. This renders obsolete our old jurisdiction based governance of legal identity. Thus, it requires a global legal identification system which is run locally. Politically, this is a very hard sell to local and national politicians.

YET, THERE'S EVEN A GREATER CHALLENGE...

How will an AI system be legally identified? In discussions with others, it means the source code needs to be securely modified, such that a legal registration Toda type file of some sort is written into it, securely, such that it can't be modified, erased, copied, moved, etc. This isn't a trivial challenge.

TO ADD FUEL TO THE PROVERBIAL FIRE...

AI systems and bots will be able to increasingly work together in singularity. At the legal level, how is an enterprise, who's contracting out services to an AI system and/or bots, going to know about this? How will they be able to restrict flow of sensitive information to other AI systems/bots, and/or their competitors, or other jurisdictions wanting to act maliciously?

YIKES!!!!!!

It requires small baby steps to begin working towards creating a legal solution framework. So, where to begin?

  • Create a Common Nomenclature for AI Systems/Bots
  • Research on How We're Going to Legally Identify AI Systems/Bots - Toufi Saliba, global chair of IEEE AI Standards, is currently working on creating a AI standards research institute. I'm suggesting, as part of this, work be quickly done on how to securely insert code into AI systems and digital/physical bots. It's time to bring the best minds around the planet together to come up with innovative ideas.
  • Contract Law Research on Legal Identification Requirements for AI Systems/Bots - A good place to start is to quickly assemble willing legal experts, associations and enterprises, who have a vested interest in this, to begin working away at new types of contract law for this
  • Rethink CRVS (civil registration vital statistics) systems planet wide to provide the legal underpinnings for new laws and regulations
  • Small, Tightly Focused POC's - If the above occurs, then I'm suggesting taking the willing participants and funding coordinated, tightly focused POC (proof of concepts) to prove out the ideas
  • Enterprise likely creating their own internal solution leveraging the above to address the problems, while governments take their sweet time in addressing this

Rethinking Security Models to Include AI Systems, Bots and IoT

Yep! We're in the Early Stages of a Revolution

Here's the links to articles in this series:

Enterprise readers might also find these articles very relevant to rethinking enterprises:

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:

Recommended by LinkedIn

How iCIMS Built Its Responsible AI Program
iCIMS 4 months ago
OpenAI's Unacceptable "Privacy by Pressure" Approach
Luiza Jarovsky 1 year ago
Insider’s Edit: Biden Administration Takes on Illicit…
AI Business 4 months ago

CISO's:

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

 


Dirk Findeisen

Passionate about Risk & Anti-Financial Crime (AFC) Compliance - Collaborating and supporting Compliance Officers, MLROs, CFOs, FIUs, and all interested persons - Best Practices, Strategies, Processes & Technologies

3y

Interesting thoughts. Thanks for sharing.

Like
Reply
See more comments

To view or add a comment, sign in

More articles by this author

See all

Insights from the community

Others also viewed

Explore topics