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Transparency is a factor of TRUST

(Here, hold my bag.)

 

I'm not responsible for training or testing AI models -- but I AM responsible for how I use personal data:
I use personal data in decisions my agents make on my behalf.

My use includes how it is processed:
“Decide whether to invite this person in.”

MY ACTION is telling my Yo-AI agent to:
“Code a function that generates an invitation to everyone of legal age.”

MY AGENT'S ACTION is to identify the Decision-Factors used to make this Decision-Outcome, and act as a Transformer of input to output:
“Depending on an individual person's age, place of residence, and the place and time this function ran.”

“Oh yes, and disregard physical characteristics. I'm not concerned if they can fit through the front door..”

My use includes how I prompt my agent!

Can ANYONE "Opt-Out" from automated decision-making?

 

Some California lawmakers decided this is what consumers want.
But this wasn't an automated decision -- it was years in the making!

We want to opt-out so we won't know what organizations are doing with our data.
We want our data to be deleted because we don't know if we opted-out, or what we opted-out from.
We want to be anonymous because we don't know if we provided our personal information voluntarily, whether the data is public or private, sensitive or not, if we consented to use of our data, etc. etc.

WE ALL MAKE DECISIONS AUTOMATICALLY

We don't always know why.

With Yo-AI, you can still make decisions based on fear factors.
(just say no to everything).
Or put your decision-making engine into greed mode: (just say yes to everything).

 

 

Yo-AI's transparency is intended to help you and your agents make better decisions.

 

 

WHY TRANSPARENCY IS A RISK FACTOR

Someone knocks at your door.

You receive a text message or phone call from an unidentified sender.

The app or device you use daily has new, unexpected 'features'.

An organization tells you something very important about your account, but from a noreply@email.com account, and no other contact info is provided.

Responsible Humans Are NOT Anonymous

How Yo-AI Measures Transparency

 

A consumer-advocacy organization called AccessNow.org publishes a Transparency Index.

AccessNow writes:
What is Transparency Reporting?
A transparency report is a regularly released publication detailing how an organization, such as a corporation, government office, or university, processes third-party requests and enforces internal rules regarding people's data, including content they post or engage with, and mitigates risks to their digital rights.

"Third-party requests" are generally requests from law enforcement, including subpoenas, but could also include proxy organizations working on behalf of corporations that collects not only personal information, but any information within the scope of their request.

The purpose is to enable individuals with information -- "by disclosing threats to user privacy and free expression."

The metrics reported are simple: it records the date every organization voluntarily published transparency reports on their website, the link where they are published, and whether or not it included third parties who are not government entities.

These transparency reports are very similar to "CCPA Metrics" which publishes how many privacy access requests are received, processed, and fulfilled or denied each calendar year.

 

Positive Role Models

The Interactive Advertising Bureau (iab) represents a good example of Trust & Transparency;
not only for its AdTech industry association members,
but for all stakeholders.

The IAB's membership provides practical and acceptable guidance for organizations of all types that measures trust and transparency attributes in marketing campaigns.
These peer-reviewed tools are made accessible to all stakeholders, and participation in this industry initiative is voluntary. The IAB provides a positive role model through encouragement -- not mandates.



Negative Role Models

KNOWB4 provides educational tools for employees who are targets of phishing and related attacks.
There's a reason why KnowB4 never responds to messages from consumers. We just don't know what that reason is.
When a company's employees fail a "phishing expedition test", where are those results stored and who are they shared with? How are we to know if co-workers disparage employees who click on the wrong link or get tricked by a scammer?

KNOWB4 is a member of the Anti-Phishing Working Group (APWG.org), which shares sensitive information with other members to warn them of dangerous threat actors, like a "No-Fly" list. This sharing agreement has never been challenged in court -- probably because few people know about it.
Perhaps KNOWB4 never opens email or text messages or clicks on links or attachments because their own employees, systems, and training can't be trusted.

Successful AI Use Cases in Organizations

 

Federico Marengo has posted on LinkedIn,
prepared summaries of successfully implemented AI use cases for business leaders, including company name, AI use case, and where available the outcomes of the implementation.

"What people leading AI adoption need, I think, are examples of concrete, real, proven and successful AI use cases implemented by companies. This will help turn AI adoption awareness into practical outcomes."
-- Federico Marengo

GET Yo-AI


Yo-AI exposes Decision-Factors that opaque organizations use to make decisions about YOU.

Discovery! Adverse media posts. Lawsuits, settlements, fines, and data breaches.
Testimony from employees, victims, investors, regulators, and stakeholders.

Yo-AI exposes Decision-Factors that YOU USE to make decisions about opaque organizations.

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