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©2019 Women in AI. All rights reserved.

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SOLVE

BIAS IN AI

OUR research

We are living in a biased world!  As humans, we tend to have biased opinions and we tend to make biased decisions...Bottom line, we have biased systems and our brains are unfair decision makers!

AI is offering us the chance to build machines that are not only smarter than us on specific tasks but better decision makers than us!

However, machine learning data, algorithms, and other design choices that shape AI systems may reflect and amplify existing cultural bias and prejudices

Diagnosis

Consolidated measures of fairness of algorithms;

Explanation

Empirical and theoretical analysis of how algorithms become discriminatory

Prevention

Fairness-aware optimization process

for Machine Learning models

 

OUR NEWS & Events

29

May

WaiTALK
A Tale of Two Countries: The AI Edition
Brisbane | Australia

19

June

16

JuLY

WaiTALK
Washington | USA
WaiTALK
San José | Costa Rica

WAITALK - Hamburg - DEC 2018

Teaching AI, challenges & opportunities

Our researchers

Dr. Ania Kaci

Speaker Relations Manager //

Senior Data Scientist @Gexpertise

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Dr. Marwa Chafii

Research Projects Lead //

Professor @Ensea

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Kimya Dhade

Technical Lead // Research intern @CentraleSupelec

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OUR PARTNERS:

Women in AI is the proud member of the AI4EU project supported by European Commission as part of the European Union’s Horizon 2020 research and innovation programme. For more information regarding the project visit www.ai4eu.eu.

 

BE inspired. STAY W(A)IRED!

“Now is the time for us all to learn

about AI and start embracing its advantages in a responsible and ethical way. That's where WAI plays an important role as members gain knowledge, build their network of peers, and contribute to the industry's diversification. Seeing more AI-empowered decision makers who are women is critical for the non-biased  AI future.”

—  Arti Nokhai, 

 Business Development Executive, IBM

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