Bots in the Classroom & Home - Security, Identity, Consent and Privacy
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
December 27 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:
Bots, both physical and virtual are now appearing in both the home and schools to assist kids in learning. I used the above pic for a reason. It shows a humanoid bot, working with both students and a teacher. People looking at it immediately use their old frames of reference to judge the scene, thinking the bot can see, hear, think and move. What they're missing is the data and identity issues. That's what this post will discuss.
Nanotechnology & Sensors
Nanotechnology means the world of "things" is shrinking to very, very small physical devices. It results, overtime, for a wide variety of different types of behavioral/biometric sensors becoming miniaturized. It means the bot in the pic above, can potentially be determining, each second, the student's skin temp, eye blinks, eye movements, mannerisms, physical body movements, emotions, how they interact with others, etc. The same type of sensors can be built into the room as well, in the not so distant future, clothes, glasses, et al people are wearing.
All of this "data", which is highly personable, can then feed what I've been calling a digital learning twin (DLT). The DLT can continuously update the student's individualized education plan (IEP) measuring it against assessments.
Skim this new learning architecture:
Security
Yet what about the security and privacy concerning mass aggregation of very sensitive data, streaming into the DLT and out to different learning systems, bots and teachers? I'm VERY concerned about creating systems that could be maliciously used against a person. Which is why in the post linked above, I discuss how Toufi Saliba from TODA, advised me to build in security right from the get go.
Yet, it's easier said than done. Why? All the different sensors have different types of hardware and software security. Depending on which country is manufacturing these, they hypothetically could have back-doors built into them, allowing illegal access.
Then there's the data transmission from the device endpoints to the DLT system endpoints, from there into the DLT system, and then back out in feeds to learning bots and teachers.
Finally, I keep this diagram always in my mind. Why? It means tomorrow's technology is going to be very different than today. It means today's best end to end security system might quickly become tomorrow's turd. Thus, any learning framework must be constantly monitored for new threats and quickly adjusted. This is something that most systems today aren't good at.
Readers should skim these articles to see the rapidly growing privacy threat in the classroom from IoT devices et al:
The Same Applies to the Home
As learning bots begin to appear in the home, the same problems above apply to your child and others who are learning along with it. So, while you as a parent might be "sold" on the learning benefits, e.g. STEM (science technology engineering and math), assisting learning challenged students, etc., the fine print about security might not be well explained, and/or thought out.
Consent and Privacy
While a learning bot/sensor system might come with a high degree of security, it's only as good as the legal consent used. For example, in this post, I state how Jane Doe's parents provide their consent to a school district, to use Jane Doe's data, understanding all data used for Jane Doe will be expunged from their systems when she graduates. Thus, they're providing informed consent.
Now consider the home. People are motivated by price and they like "free" or inexpensive things. That's why this survey found for ages 18 to 34, the rate of acceptance of terms and conditions, without reading them, reaches 97 percent. Thus, highly sensitive data about your child, could potentially flow, each second, from the bot learning system into private commercial databases.
Why should you care? The data can be accessed, down the road, by entities like life/health insurance companies, potential employers, without your permission, to judge your health and predict your behaviors. YIKES!
Identities
Consider the bot in the pic above. It's likely not acting on its own. It will probably be connected to AI deep/machine learning type programs, that's interconnected with other bots in the school, and perhaps around the planet.
If a bot is working with Jane Doe, either physically and/or virtually, how does Jane Doe know its bot 12345 versus bot abcde? If the bots are working increasingly together in singularity, how are each bots legally identified, and how is the data sharing legally monitored? Since virtual bots can be created in one jurisdiction and instantly operate in others, how will they be legally identified?
Skim this architecture for AI systems and bots legal identification:
Most people, school districts, governments et al around the planet, aren't yet even thinking about this. Yet they should.
Professional Identification
As the world madly digitizes, it means human and bot teachers might be located at other places on the planet than the one the student is in. How can a parent, school district or province/state be sure the entity has the correct professional certification, and it's up to date?
In this post, I talk about teaching identities. We need a global system able to meet the needs of today. Not one using old paper based certification, trapped within a jurisdiction or country.
Skim this new architecture for rethinking human legal identities;
Jane Takes an Exam
Jane Doe is going to take a major exam. In today's world, it's becoming more common to steal a person's identity or impersonate them to write an exam. Here's how I see, in the not so distant future, Jane Doe proving her identity before she sits for an exam...
She presents her legal self-sovereign identity (LSSI), either physically or digitally. It contains a hash of her birth entry into a TODA like system, as well as an attestation by the CRVS (civil registration vital statistics ) system. She might have to provide a 4 digit pin. The system then checks the hash to confirm it's her. It also contains a face image of her that must match to the person entering the exam. If the situation was really high risk, the authorities could securely obtain her fingerprints/iris scan, and then compare this to the CRVS.
Skim this article on how schools and workplace assessments will change in the not so distant future:
Summary
As bots and sensors invade the home and school for learning, it requires a rethink of identity, security, privacy and consent. Without this, a young child or student, might have their data improperly used, which can affect them for the rest of their lives.
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!!!!!!:
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:
领英推荐
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:
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
A 100,000-Foot Level Summary Of The Learning Vision: