Preparation

Read the assigned articles and watch the assigned videos.

Tasks

1. Choose a topic on data management and data privacy that has an ethical dilemma (a non-comprehensive list has been provided below). Take a position in favor or against the topic/company you chose. Provide both quantitative and qualitative information to support your position.

2. Propose a solution to the ethical dilemma. This could include legislation, regulation, monetization, or stopping a practice. Be specific in your recommended action.

3. Develop a stakeholder analysis, what is important to each party and why? How would your recommended solution impact each group? What could you do to influence your stakeholders to adopt your solution?

• Two tools to help guide your stakeholder analysis:
  • STAKE HOLDER MATRIX & MANAGEMENT
  • STAKEHOLDER ANALYSIS CHART

In discussing your position, in favor or against, ensure you are explicit about explaining what are the ethical dilemmas that affect the communities involved.

Word Count and Structure Guidelines

• 750 to 1000 words
• Include an opening paragraph (five to six lines) that summarizes the entire paper. This is not an intro that describes what the paper is about, rather this is a full summary of the paper. In other words, if your paper landed in the hands of busy executives, would they have a strong understanding of my analysis and recommendations by only reading the opening paragraph?
• Do not answer the paper in a Q&A format.
• Strengthen your storytelling by using numbers and charts, where/if relevant.
• Provide a minimum of three (3) relevant sources, cited in A.P.A. format.

Scholarly Academic Sources

As mentioned in the rubric, you MUST use sources outside of the ones given to you already in the pre-readings. Check the box for “peer-reviewed” while performing your search on 

IMPORTANT

• You are expected to produce a “new-to-the-world” analytical piece.
• It is NOT OK to simply piece together the work of others.

Non-Comprehensive List of Potential Topics

• Tesla continuously recording pedestrians and other drivers, through the cameras around its vehicles. Those pedestrians and other non-Tesla drivers have nothing to do with driving or owning the Tesla that is recording them.
• Police being banned from using their own LAPD records around gang profiles.
• Zhenhua Data keeping a database of high-profile Australian citizens.
• Platforms of co-creation of knowledge that store unreliable data used by data scientists. Consider
  • The teenager who wrote 10,000 + Wikipedia articles in Scottish without even knowing the language.
  • COVID-19 paper claiming that hydroxychloroquine posed a higher risk of death published by The Lancet peer-reviewed journal. Paper was later retracted due to the use of fictitious data.

*ERS stands for Ethics, Responsibility, and Sustainability