Challenging Linguistic Homogenization in AI

Incorporating Indigenous languages via revitalization efforts challenges the linguistic bias often present in artificial intelligence and machine learning systems, promoting linguistic diversity and better representation of Indigenous worldviews in AI technologies.

Incorporating Indigenous languages via revitalization efforts challenges the linguistic bias often present in artificial intelligence and machine learning systems, promoting linguistic diversity and better representation of Indigenous worldviews in AI technologies.

Empowered by Artificial Intelligence and the women in tech community.
Like this article?

Indigenous Terminology in DEI Contexts

Interested in sharing your knowledge ?

Learn more about how to contribute.

Sponsor this category.

More articles on Indigenous Terminology in DEI Contexts

See all

More articles from related categories

What Are the Essential Tech Inclusion Terms Every Manager Should Know?
Tech Inclusion Vocabulary for Managers
How Does Language Influence Hiring Practices for Women in Tech Across Cultures?
Inclusive Language Variations in Global Tech Markets
What Role Does Indigenous Terminology Play in Enhancing DEI Efforts Within Tech Communities?
Indigenous Terminology in DEI Contexts
How Can Case Studies Inform Best Practices for Inclusive Hiring Using Glossaries?
Multilingual Glossaries for Inclusive Hiring