Artificial Intelligence for All

Speaker:  Letizia Jaccheri – Trondheim, Norway
Topic(s):  Artificial Intelligence, Machine Learning, Computer Vision, Natural language processing

Abstract

Software is an infrastructure of all industries and societies around the world, serving global users despite social differences, including race, gender, class, ethnicity, sexuality, and nationality.

In the era of Artificial Intelligence (AI) and increasing automation in software industry, the role of humans is even more emphasized across age, culture, and gender. However, the engagement of people in software and AI engineering is not uniform. It is important to address the diversity gap in software engineering urgently when new AI intensive software systems are being created because there is a risk that AI generated software perpetuates sexist and racist assumptions and ideologies.

The concept of intersectionality explores the interconnectedness of social differences, including race, gender, class, ethnicity, sexuality, and nationality. The goal of this lecture is to discuss the state of the art about diversity issues in core topics of AI and software engineering.

About this Lecture

Number of Slides:  30
Duration:  30 minutes
Languages Available:  English, Italian, Norwegian, Portuguese
Last Updated: 

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