Tools and Frameworks in Evaluating Ethical Data Practices

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Tools and Frameworks in Evaluating Ethical Data Practices

Explain the iterative process of EIAs, including stakeholder involvement, ethical framework establishment, risk analysis, mitigation planning, and the importance of documentation
Apply the SAD+AM model for sustainable ethical decision-making, emphasising stakeholder involvement throughout the ethical evaluation process
Distinguish between Ethical Impact Assessments and Data Ethics Tools, explaining how they are complementary processes in ensuring ethical practices, particularly in AI contexts
Apply Consequence Scanning to real-world examples, and utilise the Consequence and Risk Evaluation (CARE) tool to categorise consequences, prioritise actions, and demonstrate proficiency in AI-supported ethical assessments

Overview

Off the shelf (OTS)

Data ethics evaluation tools are guided frameworks designed to assess and ensure ethical considerations across the stages of the data lifecycle, including collection, storage, analysis, modelling, and deployment, as well as the design of continuous monitoring practices. These tools help organisations and individuals make informed, ethical decisions about data practices.

This course explores the tools and frameworks to evaluate data practices from an ethical perspective and provides the basis for you to apply impact assessments. As you’ll learn, there are many ways to evaluate ethical outcomes. A popular method for structuring these evaluations is to design and conduct an Ethical Impact Assessment (EIA).

These assessments provide the opportunity to examine projects and practices to help identify positive and negative outcomes. Ethical Impact Assessments can be applied to data projects, as well as to the design and implementation of technologies such as AI.