Fairness in Machine Learning: are you sure there is no bias in your predictions?
AI/Machine Learning
• March 2019
Fairness in Machine Learning: are you sure there is no bias in your predictions?
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About
Fairness in Machine Learning: are you sure there is no bias in your predictions?
About
Nowadays, Machine learning (ML) is used to predict nearly everything: from houses price to future criminals.
Often, decisions based on ML systems have a significant impact on our life: they influence recruiters who evaluate our CV or banks that should grant us a loan.
However, can we trust these systems and be sure that their predictions are fairly computed?
What if a bias in the training data is amplified by these systems leading to unequal decisions?
In the talk we will understand how to identify such biases and mitigate their effects.
Language
English
Level
Intermediate
Length
29 minutes
Type
conference
About the speaker
About the speaker
Azzurra Ragone
Innovation and transformation lead •
EY
I love to transform enterprises and bring them to the future.
Currently, I am Innovation and Transformation lead for EY Business Solution.
I worked for Google as a Program Manager in the Developer Relations team, for BurdaForward as Branch Manager and for Exprivia S.p.A as a Project Manager and BI consultant for various Italian companies (Generali, Eni, Telecom).
Former research fellow in AI and Machine Learning for many years, I worked as a researcher manager for several years at the Polytechnic of Bari, the University of Trento, the University of Michigan and the University of Milan Bicocca
Details
Language
English
Level
Intermediate
Length
29 minutes
Type
conference