ERS- Ethics, Responsibility, and Sustainability Paper Project

Job ID: 33077944

Budget: $10 – $30 USD

Read the assigned articles, and watch the assigned videos.
One article is attached below and one link is given below
https://www.vox.com/recode/22254815/facebook-apple-privacy-ios-14-lawsuit
Choose a topic on data management and data privacy that has an ethical dilemma.
A non-comprehensive list of potential articles is provided below.
Develop a critical paper where you take a position in favor or against the topic/company you chose.
Propose a solution to solve the conflicting interests and move the issue into resolution. This could include legislation, regulation, monetization, stopping a practice.
Develop a stakeholder analysis, what is important to each actor and why? How would your recommended actions impact each group? What could you do to influence a certain powerful group to adopt your solution
In discussing your position, in favor or against, ensure you are explicit about explaining what are the ethical dilemmas that affect the communities involved.
Finally, consider cybersecurity. Are we just bounded to always have bad actors who will infiltrate a database? Is this just another risk of doing business, and therefore users should know that the more digitalized they become, the more their data will land in the wrong hands? For your chosen topic, could the organization/company take even more precautions to secure their data?

Word count and structure guidelines

850 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. Think of this, if my paper landed in the hands of busy executives, would they have a full understanding of what my analysis is, as well as my recommendations and why by just reading the opening paragraph.

Do not answer the paper in a Q&A format style. Rather use sections and sub-headings.

Strengthen your storytelling by using numbers and charts, where/if relevant.