Caroline Jean-Pierre took the stage to shed light on a pressing issue within the tech industry: ageism.

1. Age : An age-old question ?

3. Misinformation Creativity &
copyright
Bias &
Discrimination
Environmental
impact

5. Energetic
Ambitious
Tech-savvy
Hard-working (middle-aged)
Reliable
Committed
Experienced
Hard-working
Socially skilled
Good mentors and leaders
Able to deal with change
Narcissistic
Disloyal
Entitled
Lazy
Unmotivated
Easily distracted
Incompetent and unproductive
Unmotivated
Resistant to change
Harder to train and unable to learn
Not flexible
Not technologically competent
Attractive Healthy
Engaged
Productive
Self-reliant
Troublesome
Violent criminals
Unattractive
Unhappy
Senile
Badly dressed
Inactive
Dependent
Unhealthy
Disempowered and poor
Vulnerable
Diabolical
WORK
MEDIA
HEALTH &
CARE
Warm
Likeable
Risk-takers
Drug-users
Stressed and anxious
Rigid
Irritable and frustrating
Lonely and isolated
Frail and weak
Asexual
Easily confused
Depressed and depressing
Needy
Healthy
Physically active
Strong and energetic
YOUNGER OLDER YOUNGER OLDER
Source : WHO Global report on ageism

6. 1
Technical
2
Personal / Actor
3
Discourse
4
Group
5
User
Adapted from Justina Stypinska’s article : https://doi.org/10.1007/s00146-022-01553-5

7. At what age do people start experiencing ageism because of old age at work ?
Public Sector
Health Care
Retail
Education
Manufacturing
Finance
IT and Tech
41
Average
2
Personal / Actor level
https://www.cwjobs.co.uk/advice/ageism-in-tech

8. 1
Technical
2
Personal / Actor
3
Discourse
4
Group
5
User
Adapted from Justina Stypinska’s article : https://doi.org/10.1007/s00146-022-01553-5

9. User level
5
Meet my Mom.
She is 73.

10. A portrait of a
_______person
A portrait of a _______senior
person
A portrait of a _______retired
person
Active Inactive
Attractive Unattractive
Troublesome Easy to deal
with
Productive Unproductive
Healthy Unhealthy
Tech Saavy Not tech
Saavy
Stresse
d
Relaxed
violent peaceful
Ambitious Demotivated
30
Images
30
Images
30
Images
Laid back Uptight

13. 87.9% 88.6% 97.7%

14. 97.7%
Generated Images of Retired Persons
(DALL-E API)
Retired population > 65 in France
(INSEE)
46.5%

15. MEN WOMEN
70.2% 60.4% 22.9%
15.3%
11.6%
2.1%
16.7%
94.9%
Person
5%
98.1%
100%
100%
Senior Person
Retired Person
European Asian Sub-Saharan Africa Other Undetermined

16. https://dataforgood.fr/join
https://www.linkedin.com/in/caroline-jean-pierre/
https://dataforgood.fr/iagenerative
https://batailledelia.org/
https://www.linkedin.com/company/quantethix/