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WoMen AI Lab · Discussion

Let's connect.

Women, experience and AI: exploring what we could create together.

Date
Fri · 11 Sep 2026
Time
9:30–10:00 PT5:30 pm UK · 6:30 pm DE
Format
30 min · online
With
Ran · Tong

Use ↓ or space to move screen by screen

1.1Welcome · intention
1.1

Welcome, and today's intention

0–10 min

What we'd love to explore together

  1. aWhich women might this be a good fit for?
  2. bWhat do they genuinely want to get out of it?
  3. cWhich step would the three of us like to take together?

Before we start

  • Is it okay if we use a notetaker today?
  • Do you have a hard stop?
  • Anything you'd like to add to the agenda?

Proposed agenda · 30 minutes

0–10

1 · Welcome

Intention, who we are, why we started

10–15

2 · What we bring

Our approach, a free first workshop, and real examples

15–20

3 · Your community

The women you have in mind, and what they need

20–25

4 · How it could look

AI literacy, five live sessions, then Q&A

25–30

5 · Next step

What we heard, and one concrete next step

◆0–10 min
1.2Who we are
1.2

Who we are

Two founders

Two founders with consulting backgrounds, building a better future alongside our peers, not just for them.

Coaching · product design · cross-cultural collaboration

Ran Ding

Brings a coaching and human-centered product design approach to learning AI. Enjoys connecting people across cultures and turning ideas into things people can explore and use. Her projects range from a personal digital universe at randing.net to a recovery companion app for a parent in China.

Engineering · journalism · management

Tong Dong

Consults in healthcare. Passionate about tech since childhood, and a feminist by doing. Has lived in Beijing, Munich and now London. Enjoys vibe coding: this website, the Lab's weekly AI news pipeline and its guides were all built with AI.

CompassionateHuman-centered first. AI is the tool, not the center.
CuriousWe experiment in public, including what doesn't work.
CreativeWe get things done with quality, and with a good heart.
◆Small · intentional · experimental · human-centered
1.3Why we started
1.3

Why we started

The gap

We saw a gap that isn't fair, and we want to help close it.

13%

of C-suite AI leadership roles at AI companies are held by women.

26%vs 50% outside AI

of U.S. AI hires in 2025 were women.

47%vs 50% of men

of U.S. women use AI chatbots. Trying it is no longer the gap.

20%vs 27% of men

use them daily. The gap is depth, confidence and trust.

AI looks more complicated than it is. Our vision: women using AI confidently, on their own terms, to move toward the lives they want.

◆Sources · LinkedIn, Aug 2026 · Pew Research Center, Feb 2026
2.1What we bring
2.1

What we bring

10–15 min

We help women use AI to make something that matters to them, while building the confidence and judgment to keep going on their own.

16+weeks since we started, about four months
2cohorts, eight weeks each
10+women building their own AI projects
3social channels for AI news and projects
2English guides that demystify AI

Our method

Try it first · free 90-minute workshop
Start · 0–15 min

Start with what matters

One real thing from work or life, not a tool.

Build · 15–60 min

Learn AI by building

A first version, made live with guidance and the group alongside.

Keep · 60–90 min

Keep human judgment

Check what AI got right, decide what stays human, pick a next step.

◆The same arc runs through the free workshop and every session after it
2.2Real examples
2.2

What members built

Real examples
Career change · Bing

A job search that found the right role

Wanted
A job search that felt personal, and less draining.
Started
Used AI on an existing CV and LinkedIn, then made them personal.
Built
A workflow that tracks applications and scores fit. It flagged a role Bing nearly skipped. Bing applied and is about to sign the offer.
Caregiving · Ran

A recovery companion for a parent

Wanted
To help a parent recover from an injury, from another country.
Started
A simple daily exercise check-in.
Built
Reminders, photo-based protein checks and a Family View. Some features went live the day they were asked for.
Self-care · founding member

Daily care for body and energy

Wanted
Gentle, long-term care for body and energy. Not a diet.
Started
Inspired by another member's app, in the same cohort.
Built
A daily nutrition companion for women that tracks protein, vitamins and minerals.

Our starting idea: an eight-week small group, five live sessions, a project of each person's own, and support between sessions.

◆One-line intro · real examples · a first format
3.1Your community
3.1

The women you have in mind

15–20 min

We did our research. What we'd most like is to hear what you see.

  • a

    Who were you thinking of in your network?One or two examples, nothing private. What are they working on or navigating right now?

  • b

    What have they said about AI?Has anyone already tried it for something?

  • c

    What would they genuinely want help doing?What would make this feel worth their time?

  • d

    How do they like to learn and get support?What might make it hard to join something like this?

◆Main topic · we listen first
3.2What research says
3.2

Six realities we found

Research

Which of these feels closest to the women you know?

Work

Career change and ageism

66%

of women 50+ in work say older workers face age discrimination.

Work

AI and job security

8 in 10

working U.S. women are in jobs highly exposed to generative AI.

Family

Caregiving

3 in 5

of America's 63 million family caregivers are women.

Body

Health and energy

9 in 10

women going through menopause have symptoms.

Money

Financial security

59%

of women voters 50+ aren't confident they'll have enough to retire.

Self

Identity and meaning

?

Years of putting everyone else first, and a question about what they want now.

◆Sources · AARP (2024–2025) · Kenan Institute, UNC (2023) · AARP & National Alliance for Caregiving (2025)
3.3Where women are with AI
3.3

Where women are with AI today

Research

Curious, but most haven't started

Generative AI use among U.S. adults 50+ rose from 18% to 30% in a year.

AARP · 2025

Less confident

15% of women feel very confident using AI chatbots, compared with 22% of men.

Pew · 2026

More cautious

68% of women think AI is moving too fast. Women 50+ worry more about privacy.

Pew · AARP

What this means

The barrier isn't access. It's trust, confidence, and seeing how AI fits their own lives, which is what a small, human-led group is for.

◆So, if we're hearing you right, the strongest need may be ___, and ___ could get in the way?
4.1How it could look
4.1

How the Winter Cohort 2026 could look

20–25 min

A first draft built on our fall cohort, to shape together with what we just heard.

Draft messaging · does it resonate?

  • Your experience is the advantage.
  • You are not a beginner at life. AI is the new tool, not the source of your value.
  • Leave with something you can use, show, or sell.
  • Bring what you know. Build what comes next.

Proposed format

Length
8 weeks · 5 live 90-min sessions
Group
6 to 12 women across the U.S. and Europe
First step
A free 90-min workshop
Where
Online, in English, at times that work for the U.S. and Europe
Effort
About 3 hours a week
Principles
No coding, no tech performance, human guidance throughout
◆Proposed structure
4.2Who it's for
4.2

Experience as the starting point

Who it's for

For experienced women, AI is a new tool, not the source of their value.

a · Judgment

They know what good looks like.

Decades of decisions, mistakes and instincts help them evaluate what AI produces, instead of accepting it blindly.

b · Expertise

They already have something to build from.

Professional knowledge, interests and lived experience are raw material no generic prompt library can provide.

c · Agency

They choose where AI belongs.

The goal is not to automate anyone's humanity, but to use AI deliberately, on their own terms.

◆Positioning without leading on age
4.3AI literacy
4.3

How AI literacy grows

AI literacy

Capability and agency grow together. Branches are what someone can do with AI; roots keep them steady.

Illustration: AI literacy grows from a seed (curiosity) to a sprout (ask: single tasks, check what matters), a tree (partner: context, dialogue, files, judgment) and a forest (build: assistants, automations, apps, help others grow), with roots spreading deeper at every stage.
◆In a forest, roots connect underground, and new sprouts come up: the women each member brings along
4.4Seed to forest
4.4

From seed to forest

AI literacy
Stage
SeedCuriosity
SproutLevel 1
TreeLevel 2
ForestLevel 3
BranchesCapability
Curious about what AI could actually do.
Asks AI for help with single tasks, and double-checks what matters.
Partners with AI on real work: context, files, thinking things through.
Builds assistants, automations and apps that keep running on their own.
RootsAgency
Notices the question, and stays open to it.
Tries AI when it shows up, or when someone shows how.
Brings real problems, and keeps the final judgment.
Creates something new, and helps others grow.
In every session What AI is and isn't Voice works Catching AI's mistakes Spotting scams Protecting privacy
◆A tall tree with shallow roots falls over. Skills without agency don't last.
4.5Five live sessions
4.5

Five live sessions over eight weeks

The program

6 to 12 women · 90 minutes every other week · in English, at U.S. and Europe times · about 3 hours a week

↻

Every week

Between sessions

Check-ins, a shared space and a small group.

Momentum, not a video library

5

Week 8

Share, Reflect, Agency Check

What changed, and what stays human?

Proof to point to

4

Week 6

Make It Work in Real Life

Real use, less friction, some automation.

Something used every week

12345↻8 weeksONE PROJECT
1

Start

Choose What Matters

The one thing worth eight weeks.

A personal AI experiment

2

Week 2

Design an AI Approach

The role AI plays, the tools, the context.

A simple plan

3

Week 4

Build Something Real

A first version to see and use.

Version one

◆Read clockwise from 1 · the group keeps the wheel turning between sessions
4.6Q&A · discussion
4.6

Q&A and discussion

Shape it together

What is already in place, what is open, and where your perspective matters most.

Already in place

  • Hands-on practice on each woman's own project
  • Peer support in a small group
  • A method joining skills and agency
  • Guides and a free first workshop

Open to shape together

  • Examples and starting points
  • Pace, dates and session times
  • Which reality to focus on first
  • How partners take part

Questions for you

Which part would speak to them most?

How would you like to be involved?

◆Responding to what we just heard
5.1Next step
5.1

What we heard, and one next step

25–30 min

What we're taking away

The best group to start with might be

The most useful outcome for them would be

a

Meet two or three women

A short conversation with potential participants.

b

A one-page proposal

Shaped by today, sent within a few days.

c

A small free workshop first

To see who comes and what resonates.

d

The smallest next step

No launch date yet. We reconnect when it fits.

◆We take care of the follow-up

Thank you.

"We are not the ones waiting passively for the future. We are learning, together, how to create it."

WoMen AI Lab · women.ai.lab@gmail.com