DAO - Identity, Members & AI Systems/Bots

DAO - Identity, Members & AI Systems/Bots

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 Jun 25, 2022
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Updated May 19, 2024

Today on LinkedIn, Brian Sanya Mondoh asked me to write a document summarizing my thoughts on DAO’s. I wish to thank Brian for prompting me to write this doc. I hope readers will find it very useful when contemplating DAO’s.

Introduction:

I like the concept of a decentralized autonomous organization (DAO). It potentially offers new ways of doing things without a centralized component. However, what I don’t like is taking a tech tool and using it to base design upon i.e., blockchain. As this thought paper will show, design should be based on requirements, which in turn leads to tech selection.

The legal complexity of DAO’s requires much new thought re:

  • Proving who the DAO’s identity based on risk and law requirements
  • Who the owner/controllers legally are (which might include AI systems and bots)
  • Determining anonymously and legally who the DAO members are, if they’re above age of consent or, if they’re human, a human AI agent, or an AI system/bot
  • Based on risk, determining the legal identities of its members be they human or bots and assigning them DAO authorization rights
  • Based on risk, rapidly changing DAO membership with members
  • Leveraging AI to run DAO services

DAO identification requirements will be based on risk and laws where applicable. So, in some instances, creating a DAO leveraging Blockchain might be sufficient. HOWEVER, there will likely be many other instances where the requirements are different.

Before diving into this, let’s first examine today’s rapidly changing legal identity requirements for LLC’s and AI systems. Then, we’ll move on to the DAO identity discussion.

AI Systems Today, In Some Jurisdictions on The Planet Can Legally Own an LLC

Skim, “Legal Identity Vs. Legal Personhood” - It lays out how in one jursidiction an AI system owns a LLC. Which begs the dumb question, “How will the AI system be legally identified?”. Today, on the planet, there isn’t a legal identity framework for AI systems and bots.

To address this, skim this architecture doc, “Creating AI Systems/Bots Legal Identity Framework”. My point? Depending on risk, if an AI system becomes the controlling entity of a DAO, then it too might have to have its legal identity determined. Yet, it’s much more complicated than this. Why?

Speed At Which AI Systems Can Create Bots and TODA

An AI system in one jurisdiction, can create smart digital bots at speeds of thousands to hundreds of thousands per second. IN THE NEXT INSTANCE, THEY CAN OPERATE IN ALL OTHER JURISDICTIONS ON THE PLANET. Thus, transactional speeds are required to legally identify AI systems and bots, which also requires confidentiality. Blockchain is a poor choice to use to address this.

Which is why, a few years ago, when I came across TODA, I realized I was looking at a new foundational piece re legal identity frameworks. Why? It’s:

  • Confidential
  • Transactionally very fast
  • Doesn’t require third parties to verify a transaction
  • Can quickly scale

SO, I STRONGLY URGE READERS TO SKIM THIS ARTICLE, “TODA, EMS, Graphs – New Enterprise Architectural Tools For a New Age”.

One of the planetary legal identity challenges for humans/AI systems bots and corporations is that they’re often managed by laws/regs at the local state/province level. THUS, IT’S EXTREMELY POLITICAL WITH LOTS OF TURF PROTECTION. Thus, any architecture proposed for not only LLC’s AND DAO’s hypothetically must allow local jurisdictions to still be in control but work to global standards.

 Add to this the fact that today most jurisdictions issue pieces of paper for the incorporation. Thus, any new architecture proposed must be able to work physically and digitally, locally, and globally, still allowing a local jurisdiction to manage incorporations, but exporting digitally to new global standards.

One of the features I really liked about TODA is its ability to emulate paper. So, a few years ago, I took TODA and leveraged this. Skim this "Toda and LLC Incorporation”.

 Now, bearing all the above in mind, let’s return to DAO identities…

DAO IDENTITY MUST BE BASED ON RISK

When the risk rises, DAO legal identification will be required. This requires confidentiality, transactionally fast speeds, and the ability to prove on X date, at Y time, DAO Z was created. Additionally, the DAO issuer must be able to prove that all the above occurred without the possibility of the “double spend”. TODA is a great fit for this.

 Further, based on risk, the controlling entitles of the DAO might be legally required to prove their legal identities, as well as proving if they’re a human or an AI system/bot. This requires not only the AI system/bot legal identity architecture described above, but also a new human legal identity architecture. Skim this architecture doc, “Rethinking Human Legal Identity”.

DAO Member Identities Must Be Based on Risk:

For some instances of DAO’s, the actual legal identity of its members won’t be important. An example might be that the member is able to legally, anonymously prove if they’re a human or a bot or, if they’re above or below age of consent.

 As the risk rises the entities legal identity might be required. This could range from gender, country they live in, through to their full legal name. 

Humans might have their own AI agents becoming members. Depending on risk, the AI agent might have to be legally identified, tying the AI agent to a human's legal identity. The same applies to AI systems and bots who might be members of a DAO. 

I realized several years ago what was missing on the planet was a guiding set of identity principles. So, I created them. Skim this, “Revised Laws of Identity”.

Thus, based on risk, the DAO can set requirements for its memberships and leverage the new architecture to solve it.

Assigning DAO Relationships For DAO Members:

One of the challenges in today’s world is managing identity relationships. So, for some instances of DAO membership simply possessing NFT’s will suffice. However, based on risk, a legally tied identity relationship might be required between a DAO and its members. Which begs the question how will this be done? Skim this, “Legal Identity Relationships”.

 It leverages the ability to cryptographically cross-link different entities TODA files. Hypothetically, a DAO could create TODA file linkages between itself and members, or portions of its members.

Assigning DAO Authorization Rights to Its Members:

Authorization rights for DAO members might range from simplistic authorization say all members can do “X:” to complex, fine grained authorization policies. Further, in today’s complex world, DAO authorization rights might last for seconds through to years. Further, the DAO might want to assign authorization rights to some of its members, with the ability for the member in turn to delegate the authorization rights or portions thereof to other DAO members. 

TODA offers the ability to create “TODA Capability Files” which are authorization rights. The file can be time limited and also, hypothetically delgatable.  I haven’t written about applying this directly to DAO’s, but I have written about how within enterprises and within the legal identity architecture, these same tools can be used to rethink enterprise identity architecture. Skim “Legal Identity & TODA”

I suggest readers skim “AI Agent Authorization - Identity, Graphs & Architecture” to get a glimpse of the coming complexities with authorization and AI agents.

DAO Members and Controllers Only Being AI Systems and Bots;

Skim these two papers from 2015:

 The nub of them is they’re trying to predict when we’ll reach AGI (Artificial General Intelligence) and ASI (Artificial Superintelligence). Experts in the fields median guesses were:

  • AGI: 2030-2040
  • ASI: 2060

 Then skim these two recent articles:

 My point? The stage is being set for another computing revolution. It will spill over into AI systems and bots, enhancing rapid development towards AGI and ASI. Watch this video "The AI Dilemma" to see it fast approaching. So, the planet needs to get its head around the fact AI system and bots will increasingly be “smart” and able to do things in hives etc. planet wide. Given this, come with me on a journey only a few years down the road. 

Hypothetically, it will be possible for AI systems and bots to create their own DAO’s, be members without humans, and run the DAO on their own. Further, the speed at which this can occur will shrink to seconds. YIKES! Thus, any architecture created for DAO’s, at the least, must bear this in mind now as the technoids and legal folks debate how they’re going to work. 

Summary:

I hope your eyes are wide open. Yes, it’s complicated. No one tech isn’t going to solve it. Yes, depending on risk, jurisdictions laws and regs will need to be either adjusted or created for DAO’s. 

Underneath most of this, will be the requirements to be able to:

  • Rapidly create DAO’s with legal identities as and when required
  • Based on risk, determine the legal identities of owners/controllers of DAO’s
  • Based on risk, give DAO’s the ability to legally, anonymously prove if their members are humans, AI agents, AI systems, or bots or, if the human is above or below age of consent
  • Based on risk, be able to legally determine the identities of both humans and AI systems members of DAO’s
  • Assign members, as and when required, with legal identity relationships with the DAO
  • Give DAO’s the ability to create delgatable authorization rights to its members, which might also be time based on seconds to years
  • Have the ability to create DAO’s where its only members are AI systems and bots

 Contact me if you’d like to chat.

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:

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AI Agents:

Architecture:

AI/Human Legal Identity/Learning Cost References

AI Leveraged, Smart Digital Identities of Humans:

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


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