Glossary

Algorithmic bias refers to the ways in which search engine algorithms, such as those used by Google, can produce search results that reflect and perpetuate societal biases, particularly those related to race, gender, and other forms of identity and discrimination.

Refers to the need for greater openness and clarity regarding how search engine algorithms, particularly those used by companies like Google, function.

A large, hard-to-manage volumes of data – both structured and unstructured – that inundate businesses on a day-to-day basis.

A small video camera worn on the body, typically used by police officers to record arrests, evidence from crime scenes, etc.

files with a small piece of data used to identify your computer/”you” when you are browsing the web.

Strategies that are used in the process of thoroughly designing.

Humans who have biased standpoints created algorithms to design new advanced technologies. The redlining concept discriminates against those who cannot control the constant work of digital advancements.

The process of being prejudiced against certain groups of people, social classes, ethnicities, religion, and sexual orientation.

changes the composition of data so that only those who know how to return it to its original form can read it, while it appears as gibberish to anyone else. Today, via programs, encryption is used to make digital data more secure by assuring that only authorized users are able to access it.

An increased state of attentiveness

The lack in fairness; injustice.

the fact that information collection takes place in an unequal power relationship; we often don’t have a choice whether or not we are
monitored or what is done with the information that is collected from us. Companies and agencies more powerful than us collect this information and do with it as they decide, with little say from the people.

The department of people who enforce laws, investigate crimes, and make arrests

the deliberate use of ambiguous, confusing, or misleading information to interfere with data collection and surveillance.

"Taking data from disparate sources, analyzing them and then using results to anticipate, prevent and respond more effectively to future crime." (Ferguson pg.53 )