Which of the following practices is NOT a key component of a data ethics framework?

Question

Options

• AAutomated decision-making.
• BPreferability testing.
• CData governance.
• DAuditing.

• A
  74% (42)
• B
  16% (9)
• C
  7% (4)
• D
  4% (2)

Explanation

A data ethics framework is a set of principles and guidelines that help organizations ensure that their data practices are ethical, responsible, and trustworthy. According to the IAPP CIPP/US Study Guide, some of the key components of a data ethics framework are: Data governance: the policies, processes, and standards that govern how data is collected, used, stored, and shared within an organization. Preferability testing: the process of assessing the potential impacts and risks of data-driven solutions on stakeholders, such as customers, employees, and society. Auditing: the process of monitoring, reviewing, and verifying the compliance and performance of data practices against the established ethical standards and legal requirements. Automated decision-making, on the other hand, is not a key component of a data ethics framework, but rather a data practice that may raise ethical issues and challenges. Automated decision-making refers to the use of algorithms, artificial intelligence, or machine learning to make decisions or recommendations without human intervention. While automated decision-making can offer benefits such as efficiency, accuracy, and consistency, it can also pose risks such as bias, discrimination, lack of transparency, and accountability. Therefore, automated decision-making should be subject to ethical evaluation and oversight, but it is not itself a part of a data ethics

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