Why do we need this workshop?

Because we don't talk about centering humans in our algorithms. And that causes harms and biases around us.

Let's change that.

Try this - Google "learn ai fundamentals".
What do you find? I find page after page links on certifications that's either about specific product (e.g., Microsoft Azure) or more relevant to data scientists (e.g., with focus on the math behind machine learning algorithms). No links lead to a page that simply speaks about what it means to design, use, and push AI while keeping people and communities at its center.
This missing piece of how do we make our AI more human-centric is key to forming a collaborative relationship with AI. And, this workshop creates the space to hold that conversation.
The goal here is not to help you move from no AI to all AI.
The goal here is to make your AI adoption journey - your work with algorithms - to be
Inclusive, Equitable, & Justice-centered


Dates for the workshop are added on a rolling basis. Every workshop occurs in the window of 1-4 pm ET/12-3 pm CT/10 am-1 pm PT.

Want to join as a group?
Send me an email for group discount + flexible dates @[email protected]


(Note: Currently Data Is For Everyone is only hosting group workshops. For individual-level learning, please reach out for more information on data Equity Consultation).

Not feeling committed yet?

Let's dig deeper into what we will cover in this workshop. In this workshop, we will explore

a. fundamentals of AI value-chain (image on the right) and what "human-centric" means there.

b. examples of AI algorithms and how their output can lead to centering people.

c. challenges we collectively share in addressing issues with AI.

d. ways biases enter into data and algorithms.

e. understanding through group exercises on when, why, and how do we know AI is bringing true value and fairness.

Here is a picture that summarizes the nuances of AI – from data to creating value – all throughout having the need to be paired with lenses like ethics and privacy.

Also, here is something that can help you decide if this workshop is for you...

Use the questions below and the matrix (image below) to determine if this workshop is right for you.

Q1. Do you believe we need AI to create change? (respond with Yes/No)
Q2. Do you think we (as a world) are moving forward to adopting varying forms of AI? (respond with Yes/No)

If you are in any of those green boxes, you will benefit from engaging in this workshop.

Learning about human-centricity in AI is as non-negotiable as environmental justice - neither is fad and both are becoming inevitable need.

Click on the button below to listen to my podcast interview (hosted by Marco Campana) on why Human-Centric AI.

Ready to take the next step?

This workshop is priced to honor you and your lived experience.

We use a sliding scale to make it accessible for those with lower incomes/wealth and to reflect the value and labour of this work. (Social Equity discounts of 5% -15% -25%). You decide what you are willing and able to pay. Note that the percentage of these discount coupons may change over time.

This scale is based on questions from Tanya Rumble and Nicole McVan's Community of Practice.

Ask yourself

  1. Are you and your family homeowners or landowners?
  2. Have you attended private education, or have an advanced degree?
  3. Does your organization cover your prof. dev. expenses?
  4. Are your bills or credit cards on autopay?
  5. Can you easily access and afford healthcare services?
  6. Do you have caregiving responsibilities for minor or adult dependents?
  7. Can you easily access and afford care services for your caregiving responsibilities?
  8. Do you have no debt and/or disposable income?
  9. Do you have a safety net of “financially stable” people in your life?
  10. Do you have Citizenship in the country you live?

Now choose your coupon

A. If your answers were all yes we suggest the original price point. This allows to offer this scale for those who may truly benefit from the discounted price.

B. If your answers were mostly yes and few no - we suggest the 5% discount coupon 5PEROFF

C. If some answers were an almost evenly split of yes and no, we suggest 15% discount coupon 15PEROFF

D. If most answers were majority or all no, we suggest you use discount coupon for 25% off using 25PEROFF


(Note: Currently Data Is For Everyone is only hosting group workshops. For individual-level learning, please reach out for more information on data Equity Consultation. ).

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