Which data ethics concept describes the process of allowing individuals to review the algorithms and data-processing steps used on their data?

Prepare for the WGU BUS2770 D467 Exploring Data Exam. Dive into interactive quizzes and insightful flashcards, each featuring detailed explanations to optimize your learning experience, and get exam-ready!

Multiple Choice

Which data ethics concept describes the process of allowing individuals to review the algorithms and data-processing steps used on their data?

Transparency in how data is processed is being able to see and review the exact algorithms and steps used on your information. This concept focuses on openness about what processing happens, why it happens, and how decisions are made, so individuals can scrutinize and understand the impact on their data. The best match here is telling that the process itself should be visible to the data subject, enabling verification and accountability for those handling the data. Data governance covers policies and stewardship of data across an organization, but it doesn’t by itself guarantee that individuals can review the specific algorithms or processing steps applied to their data. Consent is about obtaining permission before collecting or using data, not about providing access to review how that data is processed. Data minimization is about collecting only what’s necessary, which is important but doesn’t address the ability to review processing steps. Therefore, transparency about data transactions and processing most directly addresses the request to review the algorithms and steps used on one’s data.

Transparency in how data is processed is being able to see and review the exact algorithms and steps used on your information. This concept focuses on openness about what processing happens, why it happens, and how decisions are made, so individuals can scrutinize and understand the impact on their data. The best match here is telling that the process itself should be visible to the data subject, enabling verification and accountability for those handling the data.

Data governance covers policies and stewardship of data across an organization, but it doesn’t by itself guarantee that individuals can review the specific algorithms or processing steps applied to their data. Consent is about obtaining permission before collecting or using data, not about providing access to review how that data is processed. Data minimization is about collecting only what’s necessary, which is important but doesn’t address the ability to review processing steps. Therefore, transparency about data transactions and processing most directly addresses the request to review the algorithms and steps used on one’s data.

More practice questions