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A subset of machine learning involving neural networks with multiple layers that can learn increasingly abstract features of data.

A discipline that encompasses a range of tools and processes for making data-driven decisions, including AI and machine learning.

Data Provenance is the documentation or tracing of data origins, lifecycle, and authenticity of data within a data system or environment.

The overall management of the availability, usability, integrity, and security of data used in an organization, especially relevant for AI and machine learning.

Unequal behaviour toward someone because of a protected characteristic (e.g. race or gender) under Title VII of the United States Civil Rights Act.

Disparate impact is a Title VII theory where seemingly neutral practices result in unequal treatment for protected groups in employment, housing, etc.