You are a data scientist for a large public health insurance company. You find that the company's anonymization process is flawed, and by cross-referencing the data with public records, you can identify people and their health information. This flaw can produce privacy breaches, discrimination, and other negative consequences. Your company is excited about the possibilities of using the data to improve business prospects and is not open to feedback. You must decide whether to disclose this flaw. Prompts to Address: In your project, address the following four prompts (A-D) thoughtfully and thoroughly, providing detailed reasoning for your choices and recommendations. As you explore your chosen scenario's ethical issues and implications, draw upon ethical theories and principles to inform your analysis and decision-making.
A. Identify and discuss the ethical issues surrounding the scenario
B. The ethical implications (on employees, customers, shareholders, and society at large) of doing/saying nothing
C. Propose a solution or policy recommendation for handling data responsibly
D. Reflect on the challenges of balancing data-driven innovation with ethical considerations in the modern world
