Online MASTERCLASS – DAY II: Responsible AI, bias and fairness - 17 November 2023, CET: 9h30-12h00 (GMT+1)

[Quantitative Life Sciences Section]

The Africa-Europe Cluster of Research Excellence: Addressing Global and 
African Challenges Through Methods of Artificial Intelligence, Data Science,
and Theoretical and Computational Thinking

presents a *
*

*MASTERCLASS – DAY II: Responsible AI, bias and fairness*

Friday, 17 November 2023, CET: 9h30-12h00 (GMT+1)

Teachers:
• Dr Joyce Nakatumba-Nabende (Makerere University)
• Dr Andrew Katumba (Makerere University)

VENUES:
• Ångström Laboratory, University of Uppsala, Sweden
• Neelsie Cinema, Stellenbosch University, South Africa
• *Online*

ABSTRACT
This is a half-day introduction to responsible AI and bias in machine 
translation models for African languages,
in particular.
Currently, there is significant interest in building Natural Language 
Processing (NLP) tools for African
languages to enable various applications, especially those requiring 
local context. This is, however, hindered
by the low availability of text datasets to support this effort, as 
opposed to more resourced languages like
English, Swedish, etc.
In this workshop, we introduce concepts of Responsible AI when building 
models for machine translation
models for African languages. We will use a case study and discuss the 
approach we have taken to evaluate
and quantify the gender bias within a Luganda-English machine 
translation system using the Word
Embeddings Fairness Evaluation Framework (WEFE).

For more information, please visit core-ai.sun.ac.za

REGISTER: https://bit.ly/47jeZes



-- 
Erica Sarnataro
Group Secretary
Quantitative Life Sciences
The Abdus Salam International Centre for Theoretical Physics (ICTP)
Trieste,  Italy
Tel. +39-040-2240623
www.ictp.it/research/qls.aspx
e-mail:qls at ictp.it