7 terms

AI Ethics

Data Exploitation

Data Exploitation is the process of extracting valuable insights and actionable information from raw data to support decision-making and business growth.

AI Ethics

Data Sheets

Data sheets are detailed documents that provide technical specifications, features, and performance information about a product or component.

AI Ethics

Demographic Parity

Demographic parity is a fairness criterion in machine learning where outcomes are independent of sensitive demographic attributes such as race or gender.

AI Ethics

Digital Divide

Digital Divide is the gap between individuals or communities that have access to modern information and communication technologies and those that do not.

AI Ethics

Disinformation

Disinformation is false or misleading information deliberately spread to deceive or manipulate an audience.

AI Ethics

Disparate Impact

Disparate Impact is a legal and social concept describing practices that affect one group more harshly than others, even if unintentionally.

AI Ethics

Dual Use

Dual Use is the capability of a product, technology, or information to serve both civilian and military applications.