Ethics in Data Science

A set of vocabulary flashcards detailing the evolution of data systems, historical data breaches, ethical concerns for data scientists, and the purpose of data governance frameworks.

Small, Structured & Static Data

The initial stage of the data ecosystem where data was easily arranged in rows and columns, typically analyzed via descriptive statistics, predictive modeling, and classifications.

Large, Unstructured & In motion Data

An evolved stage of data behavior requiring skills in sensor-based data, IoT, machine learning, and support vector machines.

Massive, Integrated & Dynamic Data

The current state of the data ecosystem characterized by systems communicating with other systems, utilizing Artificial Intelligence and Deep Networks.

Yahoo Data Breach

The largest data breach in internet history, disclosed in 2016, which exposed the names, email addresses, and dates of birth of approximately $3 \times 10^9$ people.

Marriott (Starwood) Data Breach

A security breach confirmed in 2018 that compromised around $383 \times 10^6$ guest accounts, exposing addresses, contact numbers, and passport information.

Lack of Consent

An ethical violation illustrated by a social networking experiment that manipulated newsfeeds to elicit reactions from users without their prior permission.

Data Governance Framework

A collection of practices and processes that ensure the authorized management, security, privacy, and integrity of data within an organization.

Benefits of Data Governance

Includes exact procedures for regulation and compliance, greater transparency in data activities, increased value of organization data, and better resolution of current data issues.

Support Vector Machines

A concept and skill used to translate large, unstructured data into information.

Deep Networks

Sophisticated concepts used to execute and analyze massive, integrated, and dynamic data systems.

Ethical Guidelines

Protective mechanisms and policies intended to discourage the mishandling and unethical use of the vast pools of data accessible to data scientists.