This one pager describes changes enterprises MUST make to get ready for the introduction of AI systems, physical/digital bots, IoT devices, and AI leveraged digital identities of us. It's the summation of many articles I've written about this (see links at the end of the article).
- Your enterprise must create your own internal standards for writing unique identifiers to the source code of digital entities your enterprise is going to interact with - skim “The Challenge with AI & Bots - Determining Friend From Foe” as background. This must include unique identifiers for AI Agents.
- Get yourselves ready for the creation of hives within your enterprise. Skim to Problem #2 in "CISO's - What's Your Security Strategy For AI, Bots, IoT Devices & AI Leveraged Smart Human Digital Identities?" to see an example in Payables. Then skim “Part I AI Systems, Bots, AI Agents, IoT Devices, & Identity Architecture” to see the architecture requirements - This requires...
- Fundamental changes to your internal architecture. Skim “Part II Hives & Fast Changing Authorization Relationships” and “Part III AI, Bots, Behaviour Tech & Security Models” . Within your enterprise bowels it requires new tools like creation of EMS (Entity Management System), leveraging graphs and TODA. Skim “TODA, EMS, Graphs – New Enterprise Architectural Tools For a New Age”
- It also requires new age authentication/authorization policies. Skim “AI Agent Authorization - Identity, Graphs & Architecture” and 3 Edges to see the beginnings of new tools to create this.
- HR is going to have to create new policies for what a person/entity within the enterprise regarding use of behavioural predicting tech. Skim to the section titled, "Malicious Molly" in “New Physical/Cybersecurity Security Model”. They're going to have to create wireless free areas for job interviews. They should also change their name to HREM - Human Resource Entity Management. Finally, they're going to need to modify their HRMS system to allow for insertion of employee and contractor's Ai agent's identities tied to the employee entry.
- Legal is going to have to edit contracts for employees, contractors, customers and suppliers on use of behavioural predicting tech. They must begin to explore and leverage AI smart contracts to rapidly create "hives" within the enterprise.
- They're also going to have to decide, based on risk, if contracts with LLC's (Limited Liability Corporations) requires determination if the LLC is owned by an AI system. Skim “Legal Identity Vs. Legal Personhood”. Finally, they're going to have to write into contracts with employees, contractors, customers, suppliers and business partners the standards used for entity identification.
- IT/Security is going to have to create a new security model for the enterprise. It's going to have to rethink how they're going to address new AI generated attacks. Skim “Deep Fakes, Privacy, Protection & Misinformation” as but one example. It also must address use of LLM (Large Language Model) AI within your enterprise which hypothetically can leak enterprise data.
- Marketing is going to have to create new marketing models leveraging behaviour predicting and also dealing with your customers who are leveraging AI smart digital identities to interact with your enterprise. Skim “Marketing In The Age of AI Agents, Bots, Behavioural Tech and Crime”. They should embrace co-design to do this (skim “Why Disabled People Will Lead The Planet Rethinking Legal Identity, AI/Bots, Credentials & Learning”.
- Manufacturing must begin to rethink their security models. Skim slides 16-20 in “The Sky Isn’t Falling – But Security Models Must Change”
- Finance must look at ways of doing things faster, cheaper and better leveraging AI leveraged smart digital identities of employees/contractors. They also should be exploring leveraging AI/AR/VR to model costs, improve efficiencies, etc. Further, for critical negotiations with suppliers and/or business partners, they should use wireless free areas.
- C-suite should create a new enterprise "Innovation & Risk Committee", with members from all parts of the enterprise, which meets daily, assessing innovation and risk. Skim “Part IV Enterprise Risk & Innovation Governance”. Your board should have one person sitting in on this at least once every other week. Skim “Getting Your Company Ready for AI/tech- What Boards Need to Know”.
- The C-suite should also consider forming red teams to constantly attack their enterprise physically and digitally. It's much better to be successfully attacked by your own, rather than others. If you don't have the resources to do this, consider farming it out to others on a regular basis.
Summary
Your enterprise is entering a major paradigm shift. I choose the pic at the beginning to display how rapidly emerging tech can create change and chance. Enterprises who don't prepare now are at increasing levels of risk of not so nice things happening to them i.e. don't leave it to chance.
I do short-term consulting to rapidly assist enterprises to create interim road-maps addressing the incoming wave to tech change.
Appendix A- Architectures I'm Proposing to Governments
Appendix B - My Message To Government & Industry Leaders
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:
- “Personal AI FinTech Agents - Risks, Security And Identity”
- “AI/Bots Health Agents, Medical IoT Devices, Risks, Privacy, Security And Legal Identity”
- “Marketing In The Age of AI Agents, Bots, Behavioural Tech and Crime”
- “Legal Departments - AI/Bots, Gen AI, AI Agents, Hives, Behavioural Tech And AI's Ability To Own LLC's”
- “AI Agents & Kids"
- “AI Agent Authorization - Identity, Graphs & Architecture”
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:
- “Legal Departments - AI/Bots, Gen AI, AI Agents, Hives, Behavioural Tech And AI's Ability To Own LLC's”
- “Marketing In The Age of AI Agents, Bots, Behavioural Tech and Crime”
- "Major Change – Future of HR"
- “AI/Bots Health Agents, Medical IoT Devices, Risks, Privacy, Security And Legal Identity”
- “TODA, EMS & Graphs – New Enterprise Architectural Tools For A New Age”
- "Entity Management System"
- "Personal AI FinTech Agents - Risks, Security And Identity"
Rethinking Enterprise Architecture In The Age of AI:
LLC's & AI:
Challenges With AI:
New Security Model:
DAO:
Kids:
Sex:
Schools:
- “The Coming Classroom Revolution – Privacy & Internet of Things In A Classroom”
- “Kids, Digital Learning Twins, Neural Biometrics, Their Data, Privacy & Liabilities”?
- “Bots, Classrooms, Privacy, Legal Identity & Contracts”
- “We Have An Identity Problem – AI/Bots in School, Home & Work”
- “Kids, Schools, AI/AR/VR, Legal Identities, Contracts and Privacy”
- “EdTech Law – Legal Identity Contracts”
- “AI, Cheating & Future of Schools/Work”
- “Using AI/Digital Learning Twins in Assessment & Education”
Biometrics:
Legal Identity:
Identity, Death, Laws & Processes:
Open Source:
Notaries:
Climate Change, Migration & Legal Identity:
Fraud/Crime:
Behavioral Marketing:
AI Systems and Bots:
- “AI, Bots & Us - Examples of Rapid Change”
- “Decentralized AI – Risks, Legal Identity, Consent & Privacy”
- "ChatGPT, AI, Identity & Privacy"
- “Why We Need To Legally Register AI Systems and Bots”
- “Why AI Regulation Requires Legal Identities of AI Systems and Bots”
- “Artificial Intelligence & Legal Identification – A Thought Paper”
- “Mission Control – We Have a Problem”
- “Lease or Rent a Bot! Rapidly Emerging Contract Law & Legal Identity Challenges”
- “The Infrastructure Behind Coordinating up to 3,000 bots in One Factory”
- “Nanobots & Legal Identity”
- “Micro Flying Bots & Legal Identity”
- “Microbots Able to Swim Through Your Body & Legal Identity”
- “Bots, Swarms, Risk & Legal Identity”
- “Nanobots, Microbots, Manufacturing, Risk, Legal Identity & Contracts”
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