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Risks of Algorithmic Exclusion in Social Diversity:

Intersectional Diagnosis of the Impact of Artificial Intelligence. Case Study of Application in Urban Mobility.

Coming soon

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Impact of AI across eight diversity dimensions

This first report by the Observatory on AI and Diversity analyses the social, functional, and symbolic impact of artificial intelligence on people belonging to eight diversity dimensions:

GENDER AND SEXUAL ORIENTATION

WOMEN

RELIGIOUS DIVERSITY

DISABILITY

NEURODIVERSITY

AGE

ETHNIC
DIVERSITY

DIGITAL
LITERACY

Focus on Urban Mobility

The report also examines how these biases specifically affect urban mobility, revealing access barriers, algorithmic exclusion, and opportunities for inclusive redesign.

Study Objectives

Detect
algorithmic
bias

Assess
accessibility
and inclusion

Propose
improvements
towards ethical AI

Key Findings

78 %

of women

perceive gender bias

60 %

of people with disabilities

fear automated discrimination

75 %

believe AI is not accessible for older people

only

35 %

have seen non-binary options in interfaces

46 %

received stereotyped recommendations

59 %

detected visual bias

in AI-generated images

93 %

use AI,

but the majority do not trust it

AI and Urban Mobility

56 %

have used
shared
mobility

32

mentions of lack
of physical
accessibility

35

mentions
of technological
barriers

19

mentions
of technological
barriers

Key Conclusions

AI IS NOT
NEUTRAL

REPRESENTATION
MATTERS

THE DIGITAL DIVIDE IS MULTIDIMENSIONAL

ACTIVE PARTICIPATION
OF ALL GROUPS
IS ESSENTIAL

INCLUSIVE DESIGN IS NOT OPTIONAL

COMING SOON
THE FULL REPORT
WILL BE AVAILABLE

You will learn how to move towards truly inclusive AI.
It will be available shortly. Thank you for your patience.

Download the full report