Algorithms discriminate just like humans do, but at a larger scale. Technology must be informed by ethical and legal considerations.
Ensuring different kinds of objects are represented in the output of an algorithmic process.
Users and regulators must be able to understand how raw data was selected, and what operations were performed during analysis.
Equality of opportunity and equality of outcomes enforce the similar treatment for similar people, believing the current dissimilarity is the result of past injustice.
Responsibility by design, managed at all stages of the lifecycle of data-intensive applications.