1. The purpose/intended function of using computing in the hypothetical scenario.
This will be the outline of your case study, which might be built around a hypothetical computing system/project and context in which this system is applied.
2. The various types of stakeholders that might be involved in such a practice, and the different stakes/interests they have in the outcome.
3. The potential benefits and risks of harm that could be created by such a project, including ‘downstream’ impacts.
4. The ethical challenges most relevant to this project (be sure to draw your answers from the list of challenges outlined in Part Two of this module, although feel free to note any other ethical challenges not included in that section).
5. The ethical obligations to the public that such a project might entail for the data professionals working on it.
6. Any potential for disparate impacts of the project that should be anticipated, and how those might differently affect various stakeholders.
7. The ethical best-case scenario (the maximum social benefit the data practitioners would hope to come out of the project) and a worst-case scenario (how the project could lead to an ethical disaster or at least substantial harm to the significant interests of others).
8. One way that the risk of the worst-case-scenario could be reduced in advance, and one way that the harm could be mitigated after-the-fact by an effective crisis response.
9. At least three brief proposals or ideas for carrying out the project in the most ethical way possible. Or, if the project as outlined could never be carried out in an ethical way, identify a redesign or alternative project that would be more ethically sound. Use the module content, especially Parts Two and Five, to help you come up with your ideas.
*Note that this is slightly adapted from the Case Study assignment on ~page 59 of the Introduction to data ethics module by Markkula Center for Applied Ethics *