Data Conscience: Algorithmic Siege On Our Humanity

Data has enjoyed the bystander status in attempts to digitize responsibility and morality in tech, but data units actually carries this discrimination. By deconstructing it into its social, political, economical, racial, gendered ingredients, we can build up ways to curb oppressive practices prior to, during and after digital entry.

This book is for the rebel tech talent, those who acknowledge and are ready to address the limitations of software development. They recognize that tech's philosophy and practice of move fast break things is inherently problematic, needs to be changed and want to pinpoint the ways discrimination exists in this digital data space. The primary reader for the bookis a junior-level software developer who has worked on least two significant software development projects.

• Intermediate language concepts of classes, objects, abstraction, encapsulation, and polymorphism from any C-family language such as C, Python, or JavaScript.
• Fundamental algorithmic design techniques associated with sorting, searching, and graph algorithms.
• Core relational database system design concepts of entity-relationship modeling, SQL querying using aggregate functions and joins, and data normalization.