Women in Artificial intelligence (AI)

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Dublin Core

Title

Women in Artificial intelligence (AI)

Subject

Artificial Intelligence Engineering

Description

This Special Issue, entitled "Women in Artificial Intelligence" includes 17 papers from leading women scientists. The papers cover a broad scope of research areas within Artificial Intelligence, including machine learning, perception, reasoning or planning, among others. The papers have applications to relevant fields, such as human health, finance, or education. It is worth noting that the Issue includes three papers that deal with different aspects of gender bias in Artificial Intelligence. All the papers have a woman as the first author. We can proudly say that these women are from countries worldwide, such as France, Czech Republic, United Kingdom, Australia, Bangladesh, Yemen, Romania, India, Cuba, Bangladesh and Spain. In conclusion, apart from its intrinsic scientific value as a Special Issue, combining interesting research works, this Special Issue intends to increase the invisibility of women in AI, showing where they are, what they do, and how they contribute to developments in Artificial Intelligence from their different places, positions, research branches and application fields. We planned to issue this book on the on Ada Lovelace Day (11/10/2022), a date internationally dedicated to the first computer programmer, a woman who had to fight the gender difficulties of her times, in the XIX century. We also thank the publisher for making this possible, thus allowing for this book to become a part of the international activities dedicated to celebrating the value of women in ICT all over the world. With this book, we want to pay homage to all the women that contributed over the years to the field of AI.

Creator

Valls, Aida (editor)
Gibert, Karina (editor)

Source

https://mdpi.com/books/pdfview ...

Publisher

MDPI - Multidisciplinary Digital Publishing Institute

Date

2022

Contributor

dwi marina

Rights

https://creativecommons.org/licenses/by/4.0/

Relation

https://directory.doabooks.org/handle/20.500.12854/93766

Format

pdf

Language

english

Type

Textbooks

Identifier

Doi: 10.3390/books978-3-0365-5532-4
ISBN:
9783036555324, 9783036555317

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