Bots, Swarms, Risk & Legal Identity
Copyright Harvard SSR Lab

Bots, Swarms, Risk & Legal Identity

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: 2021年12月30日
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Updated May 20, 2024

The bot swarms depicted by this 2014 pic of a thousand bots are rapidly changing. Today, they're able to build things, work with drones, operate in real life conditions, etc. This article does a quick dive into risk, and the complex issues involving legal identity for swarms which number in the thousands, millions or more.

Note to Reader: This is the third article in a series of microbots, risk & legal identity. The other's are:

Bot Swarms

Come with me on a journey:

It's Moving Out of the Lab - Risk Rises

The use of bots, large and very small, is now out of the lab and entering "real life". The risk level varies on use of the bots.

Many situations, even where the risk level is high, won't require legal identification of bots. Why? They can be operating in controlled environments like the Ocado warehouse floor. Thus, manufacturer type registrations will likely suffice.

However, when the bots move out beyond the controlled environments, all of a sudden, risk levels are now high. Contracts need to be created:

  • Legally identifying the bots
  • Specifying what actions they can and can't do
  • Stating what data can be shared with other bot entities, companies, people, etc
  • Also specifying what happens to the data, use of it, storage, archival and termination
  • Specifying bot identity federation beyond their swarm
  • Determining what happens when a bot is terminated
  • etc.

Individual and Bot Swarm Legal Identities

I'm going to slightly digress here, telling you about a conversation I had a year and a half ago with Dann Toliver, co-creator of TODA protocol. He and I were discussing how to legally identify groups of people acting together. Not only is their individual legal identity required, but also their group legal identity.

It's complicated because not only can Jane Doe be part of a group, but her role within the group might change, etc. We discussed how to leverage TODA to address some of this. Afterwards, I was thinking of bots, and their rapidly increasing numbers.

Fast forward to today. It's not hard to imagine micro or nano bot swarms of millions or more. The bots, depending on what they do, might require individual legal identification, as well as a group legal identifier.

To add yet more complexity to an already complicated problem, it's also hypothetically possible for a bot or bot swarm to work with many other individual virtual bots, other swarms, AI systems and AI leveraged smart digital identities of humans. Skim “Hives, AI, Bots & Humans - Another Whopper Sized Problem”

Today, on the planet, this legal identity framework doesn't exist.

Jurisdictional Efforts Won't Work On Their Own - Why?

When people start talking about legal identity they make the following mistakes:

  • They go to the national level - legal identity is frequently handled at state/provincial levels
  • They leap to talking about "digital identity" - when there are LOTS of examples of where physical identity is required. Further, digital bots can work with physical bots and vice-versa
  • They assume the country can create laws, regulations et al addressing this - However, the bots can be created in any jurisdiction around the planet, and in the next instance be virtually operating in all other jurisdictions. Thus, it requires a global/local legal identity framework

Bottom Line: In today's highly fragmented, jurisdictional world, getting jurisdictions to come together to create common legal identity laws and regulations is a very steep hill to climb.

Skim “State/Provincial Leaders -? A Major Problem Is Heading Your Way”.

Then There's Contracts to Be Created...

The pace of tech change, communication et al, means that contracts between the bots, their swarm, people, companies, governments, etc. will need to be created on the fly. The contracts likely also need to specify consent of peoples, enterprises, governments, and other AI system/bot entities, for use of their data et al.

Smart IoT Devices and Smart Bots of the Not So Distant Future

When one looks at the pic at the top of this article, one sees small little mechanical bots. The Harvard and SRI videos links above, show them working away both on their own as well as with a collective. IoT devices today do things in the home, manufacturing et al, making our lives easier and more efficient like these in this list. Now come with me on a short journey only a few years down the road...

This tech change curve produced by my friend Pat Scannell, means the rapid rate of nanotechnology, communication, AI development et al will sharply increase, year after year after year. So, a bot or IoT device with current limited abilities to process things and make decisions on its own changes.

My point? "Dumb" devices become "smart", connectivity allows the device to make decisions on its own and rapidly communicate this anywhere on the planet. Further, the "device" is now increasingly able to have a wide variety of different sensors able to not only read our biometrics and behavior but also our neurodata. It will result in us living in what I call a "non-private world". Our old ideas about privacy will be effectively thrown out the window into the dust bins of time.

Architectures Addressing This

To See My Message To Government & Industry Leaders

Summary - We're Entering A Major Paradigm Shift

Where our old ways won't work well anymore. Thus, it requires out of the box thinking for our out of the box times. That's what the architectures delivers. It also applies to bots and swarms.

If you'd like to chat, contact me.

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

领英推荐

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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