Identifies Hidden Bias in Processes and Policies

Understanding acronyms related to hiring methodologies, such as AI (Artificial Intelligence) or ML (Machine Learning), equips advocates to scrutinize these processes for potential bias. This knowledge is essential to challenge and improve practices that may unintentionally disadvantage underrepresented groups.

Understanding acronyms related to hiring methodologies, such as AI (Artificial Intelligence) or ML (Machine Learning), equips advocates to scrutinize these processes for potential bias. This knowledge is essential to challenge and improve practices that may unintentionally disadvantage underrepresented groups.

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

Acronyms in Talent Acquisition (TA, ATS, DEI, etc.)

Interested in sharing your knowledge ?

Learn more about how to contribute.

Sponsor this category.

More articles on Acronyms in Talent Acquisition (TA, ATS, DEI, etc.)

See all

More articles from related categories

In What Ways Do Gender Equity and Allyship Terminology Vary Around the World?
International DEI Terminology and Equivalents
How Do Pronouns Impact Candidate Inclusion During the Hiring Process?
Inclusive Language Glossary for Recruiters
How Do DEI Terms Differ Across Cultures in the Global Women in Tech Community?
International DEI Terminology and Equivalents
What Role Does Intersectionality Play in Addressing Multiple Forms of Discrimination?
Key Terms in Gender Diversity and Allyship